update attitude_estimator_ekf, includes matlab

This adds the latest c implementation (matlab coder) of
attitude_estimator_ekf, the .m matlab script and the .prj file with the
settings to export the matlab code to c
This commit is contained in:
Thomas Gubler
2014-07-25 14:27:49 +02:00
parent 1fdc666bb0
commit a30a5d2665
34 changed files with 2632 additions and 2669 deletions
@@ -0,0 +1,286 @@
function [xa_apo,Pa_apo,Rot_matrix,eulerAngles,debugOutput]...
= AttitudeEKF(approx_prediction,use_inertia_matrix,zFlag,dt,z,q_rotSpeed,q_rotAcc,q_acc,q_mag,r_gyro,r_accel,r_mag,J)
%LQG Postion Estimator and Controller
% Observer:
% x[n|n] = x[n|n-1] + M(y[n] - Cx[n|n-1] - Du[n])
% x[n+1|n] = Ax[n|n] + Bu[n]
%
% $Author: Tobias Naegeli $ $Date: 2014 $ $Revision: 3 $
%
%
% Arguments:
% approx_prediction: if 1 then the exponential map is approximated with a
% first order taylor approximation. has at the moment not a big influence
% (just 1st or 2nd order approximation) we should change it to rodriquez
% approximation.
% use_inertia_matrix: set to true if you have the inertia matrix J for your
% quadrotor
% xa_apo_k: old state vectotr
% zFlag: if sensor measurement is available [gyro, acc, mag]
% dt: dt in s
% z: measurements [gyro, acc, mag]
% q_rotSpeed: process noise gyro
% q_rotAcc: process noise gyro acceleration
% q_acc: process noise acceleration
% q_mag: process noise magnetometer
% r_gyro: measurement noise gyro
% r_accel: measurement noise accel
% r_mag: measurement noise mag
% J: moment of inertia matrix
% Output:
% xa_apo: updated state vectotr
% Pa_apo: updated state covariance matrix
% Rot_matrix: rotation matrix
% eulerAngles: euler angles
% debugOutput: not used
%% model specific parameters
% compute once the inverse of the Inertia
persistent Ji;
if isempty(Ji)
Ji=single(inv(J));
end
%% init
persistent x_apo
if(isempty(x_apo))
gyro_init=single([0;0;0]);
gyro_acc_init=single([0;0;0]);
acc_init=single([0;0;-9.81]);
mag_init=single([1;0;0]);
x_apo=single([gyro_init;gyro_acc_init;acc_init;mag_init]);
end
persistent P_apo
if(isempty(P_apo))
% P_apo = single(eye(NSTATES) * 1000);
P_apo = single(200*ones(12));
end
debugOutput = single(zeros(4,1));
%% copy the states
wx= x_apo(1); % x body angular rate
wy= x_apo(2); % y body angular rate
wz= x_apo(3); % z body angular rate
wax= x_apo(4); % x body angular acceleration
way= x_apo(5); % y body angular acceleration
waz= x_apo(6); % z body angular acceleration
zex= x_apo(7); % x component gravity vector
zey= x_apo(8); % y component gravity vector
zez= x_apo(9); % z component gravity vector
mux= x_apo(10); % x component magnetic field vector
muy= x_apo(11); % y component magnetic field vector
muz= x_apo(12); % z component magnetic field vector
%% prediction section
% compute the apriori state estimate from the previous aposteriori estimate
%body angular accelerations
if (use_inertia_matrix==1)
wak =[wax;way;waz]+Ji*(-cross([wax;way;waz],J*[wax;way;waz]))*dt;
else
wak =[wax;way;waz];
end
%body angular rates
wk =[wx; wy; wz] + dt*wak;
%derivative of the prediction rotation matrix
O=[0,-wz,wy;wz,0,-wx;-wy,wx,0]';
%prediction of the earth z vector
if (approx_prediction==1)
%e^(Odt)=I+dt*O+dt^2/2!O^2
% so we do a first order approximation of the exponential map
zek =(O*dt+single(eye(3)))*[zex;zey;zez];
else
zek =(single(eye(3))+O*dt+dt^2/2*O^2)*[zex;zey;zez];
%zek =expm2(O*dt)*[zex;zey;zez]; not working because use double
%precision
end
%prediction of the magnetic vector
if (approx_prediction==1)
%e^(Odt)=I+dt*O+dt^2/2!O^2
% so we do a first order approximation of the exponential map
muk =(O*dt+single(eye(3)))*[mux;muy;muz];
else
muk =(single(eye(3))+O*dt+dt^2/2*O^2)*[mux;muy;muz];
%muk =expm2(O*dt)*[mux;muy;muz]; not working because use double
%precision
end
x_apr=[wk;wak;zek;muk];
% compute the apriori error covariance estimate from the previous
%aposteriori estimate
EZ=[0,zez,-zey;
-zez,0,zex;
zey,-zex,0]';
MA=[0,muz,-muy;
-muz,0,mux;
muy,-mux,0]';
E=single(eye(3));
Z=single(zeros(3));
A_lin=[ Z, E, Z, Z
Z, Z, Z, Z
EZ, Z, O, Z
MA, Z, Z, O];
A_lin=eye(12)+A_lin*dt;
%process covariance matrix
persistent Q
if (isempty(Q))
Q=diag([ q_rotSpeed,q_rotSpeed,q_rotSpeed,...
q_rotAcc,q_rotAcc,q_rotAcc,...
q_acc,q_acc,q_acc,...
q_mag,q_mag,q_mag]);
end
P_apr=A_lin*P_apo*A_lin'+Q;
%% update
if zFlag(1)==1&&zFlag(2)==1&&zFlag(3)==1
R=[r_gyro,0,0,0,0,0,0,0,0;
0,r_gyro,0,0,0,0,0,0,0;
0,0,r_gyro,0,0,0,0,0,0;
0,0,0,r_accel,0,0,0,0,0;
0,0,0,0,r_accel,0,0,0,0;
0,0,0,0,0,r_accel,0,0,0;
0,0,0,0,0,0,r_mag,0,0;
0,0,0,0,0,0,0,r_mag,0;
0,0,0,0,0,0,0,0,r_mag];
%observation matrix
%[zw;ze;zmk];
H_k=[ E, Z, Z, Z;
Z, Z, E, Z;
Z, Z, Z, E];
y_k=z(1:9)-H_k*x_apr;
S_k=H_k*P_apr*H_k'+R;
K_k=(P_apr*H_k'/(S_k));
x_apo=x_apr+K_k*y_k;
P_apo=(eye(12)-K_k*H_k)*P_apr;
else
if zFlag(1)==1&&zFlag(2)==0&&zFlag(3)==0
R=[r_gyro,0,0;
0,r_gyro,0;
0,0,r_gyro];
%observation matrix
H_k=[ E, Z, Z, Z];
y_k=z(1:3)-H_k(1:3,1:12)*x_apr;
S_k=H_k(1:3,1:12)*P_apr*H_k(1:3,1:12)'+R(1:3,1:3);
K_k=(P_apr*H_k(1:3,1:12)'/(S_k));
x_apo=x_apr+K_k*y_k;
P_apo=(eye(12)-K_k*H_k(1:3,1:12))*P_apr;
else
if zFlag(1)==1&&zFlag(2)==1&&zFlag(3)==0
R=[r_gyro,0,0,0,0,0;
0,r_gyro,0,0,0,0;
0,0,r_gyro,0,0,0;
0,0,0,r_accel,0,0;
0,0,0,0,r_accel,0;
0,0,0,0,0,r_accel];
%observation matrix
H_k=[ E, Z, Z, Z;
Z, Z, E, Z];
y_k=z(1:6)-H_k(1:6,1:12)*x_apr;
S_k=H_k(1:6,1:12)*P_apr*H_k(1:6,1:12)'+R(1:6,1:6);
K_k=(P_apr*H_k(1:6,1:12)'/(S_k));
x_apo=x_apr+K_k*y_k;
P_apo=(eye(12)-K_k*H_k(1:6,1:12))*P_apr;
else
if zFlag(1)==1&&zFlag(2)==0&&zFlag(3)==1
R=[r_gyro,0,0,0,0,0;
0,r_gyro,0,0,0,0;
0,0,r_gyro,0,0,0;
0,0,0,r_mag,0,0;
0,0,0,0,r_mag,0;
0,0,0,0,0,r_mag];
%observation matrix
H_k=[ E, Z, Z, Z;
Z, Z, Z, E];
y_k=[z(1:3);z(7:9)]-H_k(1:6,1:12)*x_apr;
S_k=H_k(1:6,1:12)*P_apr*H_k(1:6,1:12)'+R(1:6,1:6);
K_k=(P_apr*H_k(1:6,1:12)'/(S_k));
x_apo=x_apr+K_k*y_k;
P_apo=(eye(12)-K_k*H_k(1:6,1:12))*P_apr;
else
x_apo=x_apr;
P_apo=P_apr;
end
end
end
end
%% euler anglels extraction
z_n_b = -x_apo(7:9)./norm(x_apo(7:9));
m_n_b = x_apo(10:12)./norm(x_apo(10:12));
y_n_b=cross(z_n_b,m_n_b);
y_n_b=y_n_b./norm(y_n_b);
x_n_b=(cross(y_n_b,z_n_b));
x_n_b=x_n_b./norm(x_n_b);
xa_apo=x_apo;
Pa_apo=P_apo;
% rotation matrix from earth to body system
Rot_matrix=[x_n_b,y_n_b,z_n_b];
phi=atan2(Rot_matrix(2,3),Rot_matrix(3,3));
theta=-asin(Rot_matrix(1,3));
psi=atan2(Rot_matrix(1,2),Rot_matrix(1,1));
eulerAngles=[phi;theta;psi];
@@ -0,0 +1,503 @@
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<param.grt.mainhtml>/home/thomasgubler/src/Firmware/src/modules/attitude_estimator_ekf/codegen/html/index.html</param.grt.mainhtml>
<param.CallGeneratedCodeFromTest>true</param.CallGeneratedCodeFromTest>
<param.VerificationMode>option.VerificationMode.None</param.VerificationMode>
<param.SILDebugging>false</param.SILDebugging>
<param.DefaultTestFile>${PROJECT_ROOT}/AttitudeEKF_Test.m</param.DefaultTestFile>
<param.AutoInferDefaultFile>${PROJECT_ROOT}/AttitudeEKF_Test.m</param.AutoInferDefaultFile>
<param.AutoInferUseVariableSize>false</param.AutoInferUseVariableSize>
<param.AutoInferUseUnboundedSize>false</param.AutoInferUseUnboundedSize>
<param.AutoInferVariableSizeThreshold>1024</param.AutoInferVariableSizeThreshold>
<param.AutoInferUnboundedSizeThreshold>2048</param.AutoInferUnboundedSizeThreshold>
<param.mex.outputfile>AttitudeEKF_mex</param.mex.outputfile>
<param.grt.outputfile>AttitudeEKF</param.grt.outputfile>
<param.artifact>option.target.artifact.lib</param.artifact>
<param.FixedPointTypeProposalMode>option.FixedPointTypeProposalMode.ProposeFractionLengths</param.FixedPointTypeProposalMode>
<param.DefaultProposedFixedPointType>numerictype([],16,12)</param.DefaultProposedFixedPointType>
<param.MinMaxSafetyMargin>0</param.MinMaxSafetyMargin>
<param.OptimizeWholeNumbers>true</param.OptimizeWholeNumbers>
<param.LaunchInstrumentationReport>false</param.LaunchInstrumentationReport>
<param.OpenInstrumentationReportInBrowser>false</param.OpenInstrumentationReportInBrowser>
<param.CreatePrintableInstrumentationReport>false</param.CreatePrintableInstrumentationReport>
<param.EnableAutoExtrinsicCalls>true</param.EnableAutoExtrinsicCalls>
<param.UsePreconditions>false</param.UsePreconditions>
<param.FeatureFlags />
<param.FixedPointMode>option.FixedPointMode.None</param.FixedPointMode>
<param.AutoScaleLoopIndexVariables>false</param.AutoScaleLoopIndexVariables>
<param.ComputedFixedPointData />
<param.UserFixedPointData />
<param.DefaultWordLength>16</param.DefaultWordLength>
<param.DefaultFractionLength>4</param.DefaultFractionLength>
<param.FixedPointSafetyMargin>0</param.FixedPointSafetyMargin>
<param.FixedPointFimath>fimath('RoundingMethod', 'Floor', 'OverflowAction', 'Wrap', 'ProductMode', 'FullPrecision', 'MaxProductWordLength', 128, 'SumMode', 'FullPrecision', 'MaxSumWordLength', 128)</param.FixedPointFimath>
<param.FixedPointTypeSource>option.FixedPointTypeSource.SimAndDerived</param.FixedPointTypeSource>
<param.StaticAnalysisTimeout />
<param.StaticAnalysisGlobalRangesOnly>false</param.StaticAnalysisGlobalRangesOnly>
<param.LogAllIOValues>false</param.LogAllIOValues>
<param.LogHistogram>false</param.LogHistogram>
<param.ShowCoverage>true</param.ShowCoverage>
<param.ExcludedFixedPointVerificationFiles />
<param.ExcludedFixedPointSimulationFiles />
<param.InstrumentedBuildChecksum />
<param.FixedPointStaticAnalysisChecksum />
<param.InstrumentedMexFile />
<param.FixedPointValidationChecksum />
<param.FixedPointSourceCodeChecksum />
<param.FixedPointFunctionReplacements />
<param.OptimizeWholeNumbers>true</param.OptimizeWholeNumbers>
<param.GeneratedFixedPointFileSuffix>_fixpt</param.GeneratedFixedPointFileSuffix>
<param.DefaultFixedPointSignedness>option.DefaultFixedPointSignedness.Automatic</param.DefaultFixedPointSignedness>
<unset>
<param.outputfile />
<param.version />
<param.HasECoderFeatures />
<param.CallGeneratedCodeFromTest />
<param.VerificationMode />
<param.SILDebugging />
<param.AutoInferUseVariableSize />
<param.AutoInferUseUnboundedSize />
<param.AutoInferVariableSizeThreshold />
<param.AutoInferUnboundedSizeThreshold />
<param.mex.outputfile />
<param.grt.outputfile />
<param.FixedPointTypeProposalMode />
<param.DefaultProposedFixedPointType />
<param.MinMaxSafetyMargin />
<param.OptimizeWholeNumbers />
<param.LaunchInstrumentationReport />
<param.OpenInstrumentationReportInBrowser />
<param.CreatePrintableInstrumentationReport />
<param.EnableAutoExtrinsicCalls />
<param.UsePreconditions />
<param.FeatureFlags />
<param.FixedPointMode />
<param.AutoScaleLoopIndexVariables />
<param.ComputedFixedPointData />
<param.UserFixedPointData />
<param.DefaultWordLength />
<param.DefaultFractionLength />
<param.FixedPointSafetyMargin />
<param.FixedPointFimath />
<param.FixedPointTypeSource />
<param.StaticAnalysisTimeout />
<param.StaticAnalysisGlobalRangesOnly />
<param.LogAllIOValues />
<param.LogHistogram />
<param.ShowCoverage />
<param.ExcludedFixedPointVerificationFiles />
<param.ExcludedFixedPointSimulationFiles />
<param.InstrumentedBuildChecksum />
<param.FixedPointStaticAnalysisChecksum />
<param.InstrumentedMexFile />
<param.FixedPointValidationChecksum />
<param.FixedPointSourceCodeChecksum />
<param.FixedPointFunctionReplacements />
<param.GeneratedFixedPointFileSuffix />
<param.DefaultFixedPointSignedness />
</unset>
<fileset.entrypoints>
<file value="${PROJECT_ROOT}/AttitudeEKF.m" custom-data-expanded="true">
<Inputs fileName="AttitudeEKF.m" functionName="AttitudeEKF">
<Input Name="approx_prediction">
<Class>uint8</Class>
<UserDefined>false</UserDefined>
<Size>1 x 1</Size>
<Complex>false</Complex>
</Input>
<Input Name="use_inertia_matrix">
<Class>uint8</Class>
<UserDefined>false</UserDefined>
<Size>1 x 1</Size>
<Complex>false</Complex>
</Input>
<Input Name="zFlag">
<Class>uint8</Class>
<UserDefined>false</UserDefined>
<Size>3 x 1</Size>
<Complex>false</Complex>
</Input>
<Input Name="dt">
<Class>single</Class>
<UserDefined>false</UserDefined>
<Size>1 x 1</Size>
<Complex>false</Complex>
</Input>
<Input Name="z">
<Class>single</Class>
<UserDefined>false</UserDefined>
<Size>9 x 1</Size>
<Complex>false</Complex>
</Input>
<Input Name="q_rotSpeed">
<Class>single</Class>
<UserDefined>false</UserDefined>
<Size>1 x 1</Size>
<Complex>false</Complex>
</Input>
<Input Name="q_rotAcc">
<Class>single</Class>
<UserDefined>false</UserDefined>
<Size>1 x 1</Size>
<Complex>false</Complex>
</Input>
<Input Name="q_acc">
<Class>single</Class>
<UserDefined>false</UserDefined>
<Size>1 x 1</Size>
<Complex>false</Complex>
</Input>
<Input Name="q_mag">
<Class>single</Class>
<UserDefined>false</UserDefined>
<Size>1 x 1</Size>
<Complex>false</Complex>
</Input>
<Input Name="r_gyro">
<Class>single</Class>
<UserDefined>false</UserDefined>
<Size>1 x 1</Size>
<Complex>false</Complex>
</Input>
<Input Name="r_accel">
<Class>single</Class>
<UserDefined>false</UserDefined>
<Size>1 x 1</Size>
<Complex>false</Complex>
</Input>
<Input Name="r_mag">
<Class>single</Class>
<UserDefined>false</UserDefined>
<Size>1 x 1</Size>
<Complex>false</Complex>
</Input>
<Input Name="J">
<Class>single</Class>
<UserDefined>false</UserDefined>
<Size>3 x 3</Size>
<Complex>false</Complex>
</Input>
</Inputs>
</file>
</fileset.entrypoints>
<fileset.testbench>
<file>${PROJECT_ROOT}/AttitudeEKF_Test.m</file>
</fileset.testbench>
<fileset.package />
<build-deliverables>
<file name="AttitudeEKF.a" location="${MATLAB_ROOT}/bin/codegen/codegen/lib/AttitudeEKF" optional="false">/opt/matlab/r2013b/bin/codegen/codegen/lib/AttitudeEKF/AttitudeEKF.a</file>
</build-deliverables>
<workflow />
<matlab>
<root>/opt/matlab/r2013b</root>
<toolboxes>
<toolbox name="fixedpoint" />
</toolboxes>
</matlab>
<platform>
<unix>true</unix>
<mac>false</mac>
<windows>false</windows>
<win2k>false</win2k>
<winxp>false</winxp>
<vista>false</vista>
<linux>true</linux>
<solaris>false</solaris>
<osver>3.15.5-1-ARCH</osver>
<os32>false</os32>
<os64>true</os64>
<arch>glnxa64</arch>
<matlab>true</matlab>
</platform>
</configuration>
</deployment-project>
@@ -38,6 +38,7 @@
*
* @author Tobias Naegeli <naegelit@student.ethz.ch>
* @author Lorenz Meier <lm@inf.ethz.ch>
* @author Thomas Gubler <thomasgubler@gmail.com>
*/
#include <nuttx/config.h>
@@ -74,8 +75,7 @@
#ifdef __cplusplus
extern "C" {
#endif
#include "codegen/attitudeKalmanfilter_initialize.h"
#include "codegen/attitudeKalmanfilter.h"
#include "codegen/AttitudeEKF.h"
#include "attitude_estimator_ekf_params.h"
#ifdef __cplusplus
}
@@ -206,6 +206,8 @@ const unsigned int loop_interval_alarm = 6500; // loop interval in microseconds
0, 0, 1.f
}; /**< init: identity matrix */
float debugOutput[4] = { 0.0f };
// print text
printf("Extended Kalman Filter Attitude Estimator initialized..\n\n");
fflush(stdout);
@@ -213,7 +215,7 @@ const unsigned int loop_interval_alarm = 6500; // loop interval in microseconds
int overloadcounter = 19;
/* Initialize filter */
attitudeKalmanfilter_initialize();
AttitudeEKF_initialize();
/* store start time to guard against too slow update rates */
uint64_t last_run = hrt_absolute_time();
@@ -277,9 +279,9 @@ const unsigned int loop_interval_alarm = 6500; // loop interval in microseconds
/* keep track of sensor updates */
uint64_t sensor_last_timestamp[3] = {0, 0, 0};
struct attitude_estimator_ekf_params ekf_params;
struct attitude_estimator_ekf_params ekf_params = { 0 };
struct attitude_estimator_ekf_param_handles ekf_param_handles;
struct attitude_estimator_ekf_param_handles ekf_param_handles = { 0 };
/* initialize parameter handles */
parameters_init(&ekf_param_handles);
@@ -508,8 +510,25 @@ const unsigned int loop_interval_alarm = 6500; // loop interval in microseconds
continue;
}
attitudeKalmanfilter(update_vect, dt, z_k, x_aposteriori_k, P_aposteriori_k, ekf_params.q, ekf_params.r,
euler, Rot_matrix, x_aposteriori, P_aposteriori);
/* Call the estimator */
AttitudeEKF(false, // approx_prediction
false, // use_inertia_matrix
update_vect,
dt,
z_k,
ekf_params.q[0], // q_rotSpeed,
ekf_params.q[1], // q_rotAcc
ekf_params.q[2], // q_acc
ekf_params.q[3], // q_mag
ekf_params.r[0], // r_gyro
ekf_params.r[1], // r_accel
ekf_params.r[2], // r_mag
ekf_params.moment_inertia_J,
x_aposteriori,
P_aposteriori,
Rot_matrix,
euler,
debugOutput);
/* swap values for next iteration, check for fatal inputs */
if (isfinite(euler[0]) && isfinite(euler[1]) && isfinite(euler[2])) {
@@ -50,7 +50,6 @@ PARAM_DEFINE_FLOAT(EKF_ATT_V3_Q1, 0.08f);
PARAM_DEFINE_FLOAT(EKF_ATT_V3_Q2, 0.009f);
/* gyro offsets process noise */
PARAM_DEFINE_FLOAT(EKF_ATT_V3_Q3, 0.005f);
PARAM_DEFINE_FLOAT(EKF_ATT_V3_Q4, 0.0f);
/* gyro measurement noise */
PARAM_DEFINE_FLOAT(EKF_ATT_V4_R0, 0.0008f);
@@ -58,14 +57,38 @@ PARAM_DEFINE_FLOAT(EKF_ATT_V4_R0, 0.0008f);
PARAM_DEFINE_FLOAT(EKF_ATT_V4_R1, 10000.0f);
/* mag measurement noise */
PARAM_DEFINE_FLOAT(EKF_ATT_V4_R2, 100.0f);
/* offset estimation - UNUSED */
PARAM_DEFINE_FLOAT(EKF_ATT_V4_R3, 0.0f);
/* magnetic declination, in degrees */
PARAM_DEFINE_FLOAT(ATT_MAG_DECL, 0.0f);
PARAM_DEFINE_INT32(ATT_ACC_COMP, 2);
/*
* Moment of inertia matrix diagonal entry (1, 1)
*
* @group attitude_ekf
* @unit kg*m^2
*/
PARAM_DEFINE_FLOAT(ATT_J11, 0.0018);
/*
* Moment of inertia matrix diagonal entry (2, 2)
*
* @group attitude_ekf
* @unit kg*m^2
*/
PARAM_DEFINE_FLOAT(ATT_J22, 0.0018);
/*
* Moment of inertia matrix diagonal entry (3, 3)
*
* @group attitude_ekf
* @unit kg*m^2
*/
PARAM_DEFINE_FLOAT(ATT_J33, 0.0037);
int parameters_init(struct attitude_estimator_ekf_param_handles *h)
{
/* PID parameters */
@@ -73,17 +96,19 @@ int parameters_init(struct attitude_estimator_ekf_param_handles *h)
h->q1 = param_find("EKF_ATT_V3_Q1");
h->q2 = param_find("EKF_ATT_V3_Q2");
h->q3 = param_find("EKF_ATT_V3_Q3");
h->q4 = param_find("EKF_ATT_V3_Q4");
h->r0 = param_find("EKF_ATT_V4_R0");
h->r1 = param_find("EKF_ATT_V4_R1");
h->r2 = param_find("EKF_ATT_V4_R2");
h->r3 = param_find("EKF_ATT_V4_R3");
h->mag_decl = param_find("ATT_MAG_DECL");
h->acc_comp = param_find("ATT_ACC_COMP");
h->moment_inertia_J[0] = param_find("ATT_J11");
h->moment_inertia_J[1] = param_find("ATT_J22");
h->moment_inertia_J[2] = param_find("ATT_J33");
return OK;
}
@@ -93,17 +118,19 @@ int parameters_update(const struct attitude_estimator_ekf_param_handles *h, stru
param_get(h->q1, &(p->q[1]));
param_get(h->q2, &(p->q[2]));
param_get(h->q3, &(p->q[3]));
param_get(h->q4, &(p->q[4]));
param_get(h->r0, &(p->r[0]));
param_get(h->r1, &(p->r[1]));
param_get(h->r2, &(p->r[2]));
param_get(h->r3, &(p->r[3]));
param_get(h->mag_decl, &(p->mag_decl));
p->mag_decl *= M_PI_F / 180.0f;
param_get(h->acc_comp, &(p->acc_comp));
for (int i = 0; i < 3; i++) {
param_get(h->moment_inertia_J[i], &(p->moment_inertia_J[3 * i + i]));
}
return OK;
}
@@ -42,8 +42,9 @@
#include <systemlib/param/param.h>
struct attitude_estimator_ekf_params {
float r[9];
float q[12];
float r[3];
float q[4];
float moment_inertia_J[9];
float roll_off;
float pitch_off;
float yaw_off;
@@ -52,8 +53,9 @@ struct attitude_estimator_ekf_params {
};
struct attitude_estimator_ekf_param_handles {
param_t r0, r1, r2, r3;
param_t q0, q1, q2, q3, q4;
param_t r0, r1, r2;
param_t q0, q1, q2, q3;
param_t moment_inertia_J[3]; /**< diagonal entries of the matrix */
param_t mag_decl;
param_t acc_comp;
};
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,26 @@
/*
* AttitudeEKF.h
*
* Code generation for function 'AttitudeEKF'
*
* C source code generated on: Fri Jul 25 14:06:41 2014
*
*/
#ifndef __ATTITUDEEKF_H__
#define __ATTITUDEEKF_H__
/* Include files */
#include <math.h>
#include <stddef.h>
#include <stdlib.h>
#include <string.h>
#include "rtwtypes.h"
#include "AttitudeEKF_types.h"
/* Function Declarations */
extern void AttitudeEKF(unsigned char approx_prediction, unsigned char use_inertia_matrix, const unsigned char zFlag[3], float dt, const float z[9], float q_rotSpeed, float q_rotAcc, float q_acc, float q_mag, float r_gyro, float r_accel, float r_mag, const float J[9], float xa_apo[12], float Pa_apo[144], float Rot_matrix[9], float eulerAngles[3], float debugOutput[4]);
extern void AttitudeEKF_initialize(void);
extern void AttitudeEKF_terminate(void);
#endif
/* End of code generation (AttitudeEKF.h) */
@@ -0,0 +1,17 @@
/*
* AttitudeEKF_types.h
*
* Code generation for function 'AttitudeEKF'
*
* C source code generated on: Fri Jul 25 14:06:41 2014
*
*/
#ifndef __ATTITUDEEKF_TYPES_H__
#define __ATTITUDEEKF_TYPES_H__
/* Include files */
#include "rtwtypes.h"
#endif
/* End of code generation (AttitudeEKF_types.h) */
File diff suppressed because it is too large Load Diff
@@ -1,34 +0,0 @@
/*
* attitudeKalmanfilter.h
*
* Code generation for function 'attitudeKalmanfilter'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
#ifndef __ATTITUDEKALMANFILTER_H__
#define __ATTITUDEKALMANFILTER_H__
/* Include files */
#include <math.h>
#include <stddef.h>
#include <stdlib.h>
#include <string.h>
#include "rt_defines.h"
#include "rt_nonfinite.h"
#include "rtwtypes.h"
#include "attitudeKalmanfilter_types.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
extern void attitudeKalmanfilter(const uint8_T updateVect[3], real32_T dt, const real32_T z[9], const real32_T x_aposteriori_k[12], const real32_T P_aposteriori_k[144], const real32_T q[12], real32_T r[9], real32_T eulerAngles[3], real32_T Rot_matrix[9], real32_T x_aposteriori[12], real32_T P_aposteriori[144]);
#endif
/* End of code generation (attitudeKalmanfilter.h) */
@@ -1,31 +0,0 @@
/*
* attitudeKalmanfilter_initialize.c
*
* Code generation for function 'attitudeKalmanfilter_initialize'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
/* Include files */
#include "rt_nonfinite.h"
#include "attitudeKalmanfilter.h"
#include "attitudeKalmanfilter_initialize.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
/* Function Definitions */
void attitudeKalmanfilter_initialize(void)
{
rt_InitInfAndNaN(8U);
}
/* End of code generation (attitudeKalmanfilter_initialize.c) */
@@ -1,34 +0,0 @@
/*
* attitudeKalmanfilter_initialize.h
*
* Code generation for function 'attitudeKalmanfilter_initialize'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
#ifndef __ATTITUDEKALMANFILTER_INITIALIZE_H__
#define __ATTITUDEKALMANFILTER_INITIALIZE_H__
/* Include files */
#include <math.h>
#include <stddef.h>
#include <stdlib.h>
#include <string.h>
#include "rt_defines.h"
#include "rt_nonfinite.h"
#include "rtwtypes.h"
#include "attitudeKalmanfilter_types.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
extern void attitudeKalmanfilter_initialize(void);
#endif
/* End of code generation (attitudeKalmanfilter_initialize.h) */
@@ -1,31 +0,0 @@
/*
* attitudeKalmanfilter_terminate.c
*
* Code generation for function 'attitudeKalmanfilter_terminate'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
/* Include files */
#include "rt_nonfinite.h"
#include "attitudeKalmanfilter.h"
#include "attitudeKalmanfilter_terminate.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
/* Function Definitions */
void attitudeKalmanfilter_terminate(void)
{
/* (no terminate code required) */
}
/* End of code generation (attitudeKalmanfilter_terminate.c) */
@@ -1,34 +0,0 @@
/*
* attitudeKalmanfilter_terminate.h
*
* Code generation for function 'attitudeKalmanfilter_terminate'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
#ifndef __ATTITUDEKALMANFILTER_TERMINATE_H__
#define __ATTITUDEKALMANFILTER_TERMINATE_H__
/* Include files */
#include <math.h>
#include <stddef.h>
#include <stdlib.h>
#include <string.h>
#include "rt_defines.h"
#include "rt_nonfinite.h"
#include "rtwtypes.h"
#include "attitudeKalmanfilter_types.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
extern void attitudeKalmanfilter_terminate(void);
#endif
/* End of code generation (attitudeKalmanfilter_terminate.h) */
@@ -1,16 +0,0 @@
/*
* attitudeKalmanfilter_types.h
*
* Code generation for function 'attitudeKalmanfilter'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
#ifndef __ATTITUDEKALMANFILTER_TYPES_H__
#define __ATTITUDEKALMANFILTER_TYPES_H__
/* Type Definitions */
#endif
/* End of code generation (attitudeKalmanfilter_types.h) */
@@ -1,37 +0,0 @@
/*
* cross.c
*
* Code generation for function 'cross'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
/* Include files */
#include "rt_nonfinite.h"
#include "attitudeKalmanfilter.h"
#include "cross.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
/* Function Definitions */
/*
*
*/
void cross(const real32_T a[3], const real32_T b[3], real32_T c[3])
{
c[0] = a[1] * b[2] - a[2] * b[1];
c[1] = a[2] * b[0] - a[0] * b[2];
c[2] = a[0] * b[1] - a[1] * b[0];
}
/* End of code generation (cross.c) */
@@ -1,34 +0,0 @@
/*
* cross.h
*
* Code generation for function 'cross'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
#ifndef __CROSS_H__
#define __CROSS_H__
/* Include files */
#include <math.h>
#include <stddef.h>
#include <stdlib.h>
#include <string.h>
#include "rt_defines.h"
#include "rt_nonfinite.h"
#include "rtwtypes.h"
#include "attitudeKalmanfilter_types.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
extern void cross(const real32_T a[3], const real32_T b[3], real32_T c[3]);
#endif
/* End of code generation (cross.h) */
@@ -1,51 +0,0 @@
/*
* eye.c
*
* Code generation for function 'eye'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
/* Include files */
#include "rt_nonfinite.h"
#include "attitudeKalmanfilter.h"
#include "eye.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
/* Function Definitions */
/*
*
*/
void b_eye(real_T I[144])
{
int32_T i;
memset(&I[0], 0, 144U * sizeof(real_T));
for (i = 0; i < 12; i++) {
I[i + 12 * i] = 1.0;
}
}
/*
*
*/
void eye(real_T I[9])
{
int32_T i;
memset(&I[0], 0, 9U * sizeof(real_T));
for (i = 0; i < 3; i++) {
I[i + 3 * i] = 1.0;
}
}
/* End of code generation (eye.c) */
@@ -1,35 +0,0 @@
/*
* eye.h
*
* Code generation for function 'eye'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
#ifndef __EYE_H__
#define __EYE_H__
/* Include files */
#include <math.h>
#include <stddef.h>
#include <stdlib.h>
#include <string.h>
#include "rt_defines.h"
#include "rt_nonfinite.h"
#include "rtwtypes.h"
#include "attitudeKalmanfilter_types.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
extern void b_eye(real_T I[144]);
extern void eye(real_T I[9]);
#endif
/* End of code generation (eye.h) */
@@ -1,357 +0,0 @@
/*
* mrdivide.c
*
* Code generation for function 'mrdivide'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
/* Include files */
#include "rt_nonfinite.h"
#include "attitudeKalmanfilter.h"
#include "mrdivide.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
/* Function Definitions */
/*
*
*/
void b_mrdivide(const real32_T A[36], const real32_T B[9], real32_T y[36])
{
real32_T b_A[9];
int32_T rtemp;
int32_T k;
real32_T b_B[36];
int32_T r1;
int32_T r2;
int32_T r3;
real32_T maxval;
real32_T a21;
real32_T Y[36];
for (rtemp = 0; rtemp < 3; rtemp++) {
for (k = 0; k < 3; k++) {
b_A[k + 3 * rtemp] = B[rtemp + 3 * k];
}
}
for (rtemp = 0; rtemp < 12; rtemp++) {
for (k = 0; k < 3; k++) {
b_B[k + 3 * rtemp] = A[rtemp + 12 * k];
}
}
r1 = 0;
r2 = 1;
r3 = 2;
maxval = (real32_T)fabs(b_A[0]);
a21 = (real32_T)fabs(b_A[1]);
if (a21 > maxval) {
maxval = a21;
r1 = 1;
r2 = 0;
}
if ((real32_T)fabs(b_A[2]) > maxval) {
r1 = 2;
r2 = 1;
r3 = 0;
}
b_A[r2] /= b_A[r1];
b_A[r3] /= b_A[r1];
b_A[3 + r2] -= b_A[r2] * b_A[3 + r1];
b_A[3 + r3] -= b_A[r3] * b_A[3 + r1];
b_A[6 + r2] -= b_A[r2] * b_A[6 + r1];
b_A[6 + r3] -= b_A[r3] * b_A[6 + r1];
if ((real32_T)fabs(b_A[3 + r3]) > (real32_T)fabs(b_A[3 + r2])) {
rtemp = r2;
r2 = r3;
r3 = rtemp;
}
b_A[3 + r3] /= b_A[3 + r2];
b_A[6 + r3] -= b_A[3 + r3] * b_A[6 + r2];
for (k = 0; k < 12; k++) {
Y[3 * k] = b_B[r1 + 3 * k];
Y[1 + 3 * k] = b_B[r2 + 3 * k] - Y[3 * k] * b_A[r2];
Y[2 + 3 * k] = (b_B[r3 + 3 * k] - Y[3 * k] * b_A[r3]) - Y[1 + 3 * k] * b_A[3
+ r3];
Y[2 + 3 * k] /= b_A[6 + r3];
Y[3 * k] -= Y[2 + 3 * k] * b_A[6 + r1];
Y[1 + 3 * k] -= Y[2 + 3 * k] * b_A[6 + r2];
Y[1 + 3 * k] /= b_A[3 + r2];
Y[3 * k] -= Y[1 + 3 * k] * b_A[3 + r1];
Y[3 * k] /= b_A[r1];
}
for (rtemp = 0; rtemp < 3; rtemp++) {
for (k = 0; k < 12; k++) {
y[k + 12 * rtemp] = Y[rtemp + 3 * k];
}
}
}
/*
*
*/
void c_mrdivide(const real32_T A[72], const real32_T B[36], real32_T y[72])
{
real32_T b_A[36];
int8_T ipiv[6];
int32_T i3;
int32_T iy;
int32_T j;
int32_T c;
int32_T ix;
real32_T temp;
int32_T k;
real32_T s;
int32_T jy;
int32_T ijA;
real32_T Y[72];
for (i3 = 0; i3 < 6; i3++) {
for (iy = 0; iy < 6; iy++) {
b_A[iy + 6 * i3] = B[i3 + 6 * iy];
}
ipiv[i3] = (int8_T)(1 + i3);
}
for (j = 0; j < 5; j++) {
c = j * 7;
iy = 0;
ix = c;
temp = (real32_T)fabs(b_A[c]);
for (k = 2; k <= 6 - j; k++) {
ix++;
s = (real32_T)fabs(b_A[ix]);
if (s > temp) {
iy = k - 1;
temp = s;
}
}
if (b_A[c + iy] != 0.0F) {
if (iy != 0) {
ipiv[j] = (int8_T)((j + iy) + 1);
ix = j;
iy += j;
for (k = 0; k < 6; k++) {
temp = b_A[ix];
b_A[ix] = b_A[iy];
b_A[iy] = temp;
ix += 6;
iy += 6;
}
}
i3 = (c - j) + 6;
for (jy = c + 1; jy + 1 <= i3; jy++) {
b_A[jy] /= b_A[c];
}
}
iy = c;
jy = c + 6;
for (k = 1; k <= 5 - j; k++) {
temp = b_A[jy];
if (b_A[jy] != 0.0F) {
ix = c + 1;
i3 = (iy - j) + 12;
for (ijA = 7 + iy; ijA + 1 <= i3; ijA++) {
b_A[ijA] += b_A[ix] * -temp;
ix++;
}
}
jy += 6;
iy += 6;
}
}
for (i3 = 0; i3 < 12; i3++) {
for (iy = 0; iy < 6; iy++) {
Y[iy + 6 * i3] = A[i3 + 12 * iy];
}
}
for (jy = 0; jy < 6; jy++) {
if (ipiv[jy] != jy + 1) {
for (j = 0; j < 12; j++) {
temp = Y[jy + 6 * j];
Y[jy + 6 * j] = Y[(ipiv[jy] + 6 * j) - 1];
Y[(ipiv[jy] + 6 * j) - 1] = temp;
}
}
}
for (j = 0; j < 12; j++) {
c = 6 * j;
for (k = 0; k < 6; k++) {
iy = 6 * k;
if (Y[k + c] != 0.0F) {
for (jy = k + 2; jy < 7; jy++) {
Y[(jy + c) - 1] -= Y[k + c] * b_A[(jy + iy) - 1];
}
}
}
}
for (j = 0; j < 12; j++) {
c = 6 * j;
for (k = 5; k > -1; k += -1) {
iy = 6 * k;
if (Y[k + c] != 0.0F) {
Y[k + c] /= b_A[k + iy];
for (jy = 0; jy + 1 <= k; jy++) {
Y[jy + c] -= Y[k + c] * b_A[jy + iy];
}
}
}
}
for (i3 = 0; i3 < 6; i3++) {
for (iy = 0; iy < 12; iy++) {
y[iy + 12 * i3] = Y[i3 + 6 * iy];
}
}
}
/*
*
*/
void mrdivide(const real32_T A[108], const real32_T B[81], real32_T y[108])
{
real32_T b_A[81];
int8_T ipiv[9];
int32_T i2;
int32_T iy;
int32_T j;
int32_T c;
int32_T ix;
real32_T temp;
int32_T k;
real32_T s;
int32_T jy;
int32_T ijA;
real32_T Y[108];
for (i2 = 0; i2 < 9; i2++) {
for (iy = 0; iy < 9; iy++) {
b_A[iy + 9 * i2] = B[i2 + 9 * iy];
}
ipiv[i2] = (int8_T)(1 + i2);
}
for (j = 0; j < 8; j++) {
c = j * 10;
iy = 0;
ix = c;
temp = (real32_T)fabs(b_A[c]);
for (k = 2; k <= 9 - j; k++) {
ix++;
s = (real32_T)fabs(b_A[ix]);
if (s > temp) {
iy = k - 1;
temp = s;
}
}
if (b_A[c + iy] != 0.0F) {
if (iy != 0) {
ipiv[j] = (int8_T)((j + iy) + 1);
ix = j;
iy += j;
for (k = 0; k < 9; k++) {
temp = b_A[ix];
b_A[ix] = b_A[iy];
b_A[iy] = temp;
ix += 9;
iy += 9;
}
}
i2 = (c - j) + 9;
for (jy = c + 1; jy + 1 <= i2; jy++) {
b_A[jy] /= b_A[c];
}
}
iy = c;
jy = c + 9;
for (k = 1; k <= 8 - j; k++) {
temp = b_A[jy];
if (b_A[jy] != 0.0F) {
ix = c + 1;
i2 = (iy - j) + 18;
for (ijA = 10 + iy; ijA + 1 <= i2; ijA++) {
b_A[ijA] += b_A[ix] * -temp;
ix++;
}
}
jy += 9;
iy += 9;
}
}
for (i2 = 0; i2 < 12; i2++) {
for (iy = 0; iy < 9; iy++) {
Y[iy + 9 * i2] = A[i2 + 12 * iy];
}
}
for (jy = 0; jy < 9; jy++) {
if (ipiv[jy] != jy + 1) {
for (j = 0; j < 12; j++) {
temp = Y[jy + 9 * j];
Y[jy + 9 * j] = Y[(ipiv[jy] + 9 * j) - 1];
Y[(ipiv[jy] + 9 * j) - 1] = temp;
}
}
}
for (j = 0; j < 12; j++) {
c = 9 * j;
for (k = 0; k < 9; k++) {
iy = 9 * k;
if (Y[k + c] != 0.0F) {
for (jy = k + 2; jy < 10; jy++) {
Y[(jy + c) - 1] -= Y[k + c] * b_A[(jy + iy) - 1];
}
}
}
}
for (j = 0; j < 12; j++) {
c = 9 * j;
for (k = 8; k > -1; k += -1) {
iy = 9 * k;
if (Y[k + c] != 0.0F) {
Y[k + c] /= b_A[k + iy];
for (jy = 0; jy + 1 <= k; jy++) {
Y[jy + c] -= Y[k + c] * b_A[jy + iy];
}
}
}
}
for (i2 = 0; i2 < 9; i2++) {
for (iy = 0; iy < 12; iy++) {
y[iy + 12 * i2] = Y[i2 + 9 * iy];
}
}
}
/* End of code generation (mrdivide.c) */
@@ -1,36 +0,0 @@
/*
* mrdivide.h
*
* Code generation for function 'mrdivide'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
#ifndef __MRDIVIDE_H__
#define __MRDIVIDE_H__
/* Include files */
#include <math.h>
#include <stddef.h>
#include <stdlib.h>
#include <string.h>
#include "rt_defines.h"
#include "rt_nonfinite.h"
#include "rtwtypes.h"
#include "attitudeKalmanfilter_types.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
extern void b_mrdivide(const real32_T A[36], const real32_T B[9], real32_T y[36]);
extern void c_mrdivide(const real32_T A[72], const real32_T B[36], real32_T y[72]);
extern void mrdivide(const real32_T A[108], const real32_T B[81], real32_T y[108]);
#endif
/* End of code generation (mrdivide.h) */
@@ -1,54 +0,0 @@
/*
* norm.c
*
* Code generation for function 'norm'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
/* Include files */
#include "rt_nonfinite.h"
#include "attitudeKalmanfilter.h"
#include "norm.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
/* Function Definitions */
/*
*
*/
real32_T norm(const real32_T x[3])
{
real32_T y;
real32_T scale;
int32_T k;
real32_T absxk;
real32_T t;
y = 0.0F;
scale = 1.17549435E-38F;
for (k = 0; k < 3; k++) {
absxk = (real32_T)fabs(x[k]);
if (absxk > scale) {
t = scale / absxk;
y = 1.0F + y * t * t;
scale = absxk;
} else {
t = absxk / scale;
y += t * t;
}
}
return scale * (real32_T)sqrt(y);
}
/* End of code generation (norm.c) */
@@ -1,34 +0,0 @@
/*
* norm.h
*
* Code generation for function 'norm'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
#ifndef __NORM_H__
#define __NORM_H__
/* Include files */
#include <math.h>
#include <stddef.h>
#include <stdlib.h>
#include <string.h>
#include "rt_defines.h"
#include "rt_nonfinite.h"
#include "rtwtypes.h"
#include "attitudeKalmanfilter_types.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
extern real32_T norm(const real32_T x[3]);
#endif
/* End of code generation (norm.h) */
@@ -1,38 +0,0 @@
/*
* rdivide.c
*
* Code generation for function 'rdivide'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
/* Include files */
#include "rt_nonfinite.h"
#include "attitudeKalmanfilter.h"
#include "rdivide.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
/* Function Definitions */
/*
*
*/
void rdivide(const real32_T x[3], real32_T y, real32_T z[3])
{
int32_T i;
for (i = 0; i < 3; i++) {
z[i] = x[i] / y;
}
}
/* End of code generation (rdivide.c) */
@@ -1,34 +0,0 @@
/*
* rdivide.h
*
* Code generation for function 'rdivide'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
#ifndef __RDIVIDE_H__
#define __RDIVIDE_H__
/* Include files */
#include <math.h>
#include <stddef.h>
#include <stdlib.h>
#include <string.h>
#include "rt_defines.h"
#include "rt_nonfinite.h"
#include "rtwtypes.h"
#include "attitudeKalmanfilter_types.h"
/* Type Definitions */
/* Named Constants */
/* Variable Declarations */
/* Variable Definitions */
/* Function Declarations */
extern void rdivide(const real32_T x[3], real32_T y, real32_T z[3]);
#endif
/* End of code generation (rdivide.h) */
@@ -1,139 +0,0 @@
/*
* rtGetInf.c
*
* Code generation for function 'attitudeKalmanfilter'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
/*
* Abstract:
* MATLAB for code generation function to initialize non-finite, Inf and MinusInf
*/
#include "rtGetInf.h"
#define NumBitsPerChar 8U
/* Function: rtGetInf ==================================================
* Abstract:
* Initialize rtInf needed by the generated code.
* Inf is initialized as non-signaling. Assumes IEEE.
*/
real_T rtGetInf(void)
{
size_t bitsPerReal = sizeof(real_T) * (NumBitsPerChar);
real_T inf = 0.0;
if (bitsPerReal == 32U) {
inf = rtGetInfF();
} else {
uint16_T one = 1U;
enum {
LittleEndian,
BigEndian
} machByteOrder = (*((uint8_T *) &one) == 1U) ? LittleEndian : BigEndian;
switch (machByteOrder) {
case LittleEndian:
{
union {
LittleEndianIEEEDouble bitVal;
real_T fltVal;
} tmpVal;
tmpVal.bitVal.words.wordH = 0x7FF00000U;
tmpVal.bitVal.words.wordL = 0x00000000U;
inf = tmpVal.fltVal;
break;
}
case BigEndian:
{
union {
BigEndianIEEEDouble bitVal;
real_T fltVal;
} tmpVal;
tmpVal.bitVal.words.wordH = 0x7FF00000U;
tmpVal.bitVal.words.wordL = 0x00000000U;
inf = tmpVal.fltVal;
break;
}
}
}
return inf;
}
/* Function: rtGetInfF ==================================================
* Abstract:
* Initialize rtInfF needed by the generated code.
* Inf is initialized as non-signaling. Assumes IEEE.
*/
real32_T rtGetInfF(void)
{
IEEESingle infF;
infF.wordL.wordLuint = 0x7F800000U;
return infF.wordL.wordLreal;
}
/* Function: rtGetMinusInf ==================================================
* Abstract:
* Initialize rtMinusInf needed by the generated code.
* Inf is initialized as non-signaling. Assumes IEEE.
*/
real_T rtGetMinusInf(void)
{
size_t bitsPerReal = sizeof(real_T) * (NumBitsPerChar);
real_T minf = 0.0;
if (bitsPerReal == 32U) {
minf = rtGetMinusInfF();
} else {
uint16_T one = 1U;
enum {
LittleEndian,
BigEndian
} machByteOrder = (*((uint8_T *) &one) == 1U) ? LittleEndian : BigEndian;
switch (machByteOrder) {
case LittleEndian:
{
union {
LittleEndianIEEEDouble bitVal;
real_T fltVal;
} tmpVal;
tmpVal.bitVal.words.wordH = 0xFFF00000U;
tmpVal.bitVal.words.wordL = 0x00000000U;
minf = tmpVal.fltVal;
break;
}
case BigEndian:
{
union {
BigEndianIEEEDouble bitVal;
real_T fltVal;
} tmpVal;
tmpVal.bitVal.words.wordH = 0xFFF00000U;
tmpVal.bitVal.words.wordL = 0x00000000U;
minf = tmpVal.fltVal;
break;
}
}
}
return minf;
}
/* Function: rtGetMinusInfF ==================================================
* Abstract:
* Initialize rtMinusInfF needed by the generated code.
* Inf is initialized as non-signaling. Assumes IEEE.
*/
real32_T rtGetMinusInfF(void)
{
IEEESingle minfF;
minfF.wordL.wordLuint = 0xFF800000U;
return minfF.wordL.wordLreal;
}
/* End of code generation (rtGetInf.c) */
@@ -1,23 +0,0 @@
/*
* rtGetInf.h
*
* Code generation for function 'attitudeKalmanfilter'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
#ifndef __RTGETINF_H__
#define __RTGETINF_H__
#include <stddef.h>
#include "rtwtypes.h"
#include "rt_nonfinite.h"
extern real_T rtGetInf(void);
extern real32_T rtGetInfF(void);
extern real_T rtGetMinusInf(void);
extern real32_T rtGetMinusInfF(void);
#endif
/* End of code generation (rtGetInf.h) */
@@ -1,96 +0,0 @@
/*
* rtGetNaN.c
*
* Code generation for function 'attitudeKalmanfilter'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
/*
* Abstract:
* MATLAB for code generation function to initialize non-finite, NaN
*/
#include "rtGetNaN.h"
#define NumBitsPerChar 8U
/* Function: rtGetNaN ==================================================
* Abstract:
* Initialize rtNaN needed by the generated code.
* NaN is initialized as non-signaling. Assumes IEEE.
*/
real_T rtGetNaN(void)
{
size_t bitsPerReal = sizeof(real_T) * (NumBitsPerChar);
real_T nan = 0.0;
if (bitsPerReal == 32U) {
nan = rtGetNaNF();
} else {
uint16_T one = 1U;
enum {
LittleEndian,
BigEndian
} machByteOrder = (*((uint8_T *) &one) == 1U) ? LittleEndian : BigEndian;
switch (machByteOrder) {
case LittleEndian:
{
union {
LittleEndianIEEEDouble bitVal;
real_T fltVal;
} tmpVal;
tmpVal.bitVal.words.wordH = 0xFFF80000U;
tmpVal.bitVal.words.wordL = 0x00000000U;
nan = tmpVal.fltVal;
break;
}
case BigEndian:
{
union {
BigEndianIEEEDouble bitVal;
real_T fltVal;
} tmpVal;
tmpVal.bitVal.words.wordH = 0x7FFFFFFFU;
tmpVal.bitVal.words.wordL = 0xFFFFFFFFU;
nan = tmpVal.fltVal;
break;
}
}
}
return nan;
}
/* Function: rtGetNaNF ==================================================
* Abstract:
* Initialize rtNaNF needed by the generated code.
* NaN is initialized as non-signaling. Assumes IEEE.
*/
real32_T rtGetNaNF(void)
{
IEEESingle nanF = { { 0 } };
uint16_T one = 1U;
enum {
LittleEndian,
BigEndian
} machByteOrder = (*((uint8_T *) &one) == 1U) ? LittleEndian : BigEndian;
switch (machByteOrder) {
case LittleEndian:
{
nanF.wordL.wordLuint = 0xFFC00000U;
break;
}
case BigEndian:
{
nanF.wordL.wordLuint = 0x7FFFFFFFU;
break;
}
}
return nanF.wordL.wordLreal;
}
/* End of code generation (rtGetNaN.c) */
@@ -1,21 +0,0 @@
/*
* rtGetNaN.h
*
* Code generation for function 'attitudeKalmanfilter'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
#ifndef __RTGETNAN_H__
#define __RTGETNAN_H__
#include <stddef.h>
#include "rtwtypes.h"
#include "rt_nonfinite.h"
extern real_T rtGetNaN(void);
extern real32_T rtGetNaNF(void);
#endif
/* End of code generation (rtGetNaN.h) */
@@ -1,24 +0,0 @@
/*
* rt_defines.h
*
* Code generation for function 'attitudeKalmanfilter'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
#ifndef __RT_DEFINES_H__
#define __RT_DEFINES_H__
#include <stdlib.h>
#define RT_PI 3.14159265358979323846
#define RT_PIF 3.1415927F
#define RT_LN_10 2.30258509299404568402
#define RT_LN_10F 2.3025851F
#define RT_LOG10E 0.43429448190325182765
#define RT_LOG10EF 0.43429449F
#define RT_E 2.7182818284590452354
#define RT_EF 2.7182817F
#endif
/* End of code generation (rt_defines.h) */
@@ -1,87 +0,0 @@
/*
* rt_nonfinite.c
*
* Code generation for function 'attitudeKalmanfilter'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
/*
* Abstract:
* MATLAB for code generation function to initialize non-finites,
* (Inf, NaN and -Inf).
*/
#include "rt_nonfinite.h"
#include "rtGetNaN.h"
#include "rtGetInf.h"
real_T rtInf;
real_T rtMinusInf;
real_T rtNaN;
real32_T rtInfF;
real32_T rtMinusInfF;
real32_T rtNaNF;
/* Function: rt_InitInfAndNaN ==================================================
* Abstract:
* Initialize the rtInf, rtMinusInf, and rtNaN needed by the
* generated code. NaN is initialized as non-signaling. Assumes IEEE.
*/
void rt_InitInfAndNaN(size_t realSize)
{
(void) (realSize);
rtNaN = rtGetNaN();
rtNaNF = rtGetNaNF();
rtInf = rtGetInf();
rtInfF = rtGetInfF();
rtMinusInf = rtGetMinusInf();
rtMinusInfF = rtGetMinusInfF();
}
/* Function: rtIsInf ==================================================
* Abstract:
* Test if value is infinite
*/
boolean_T rtIsInf(real_T value)
{
return ((value==rtInf || value==rtMinusInf) ? 1U : 0U);
}
/* Function: rtIsInfF =================================================
* Abstract:
* Test if single-precision value is infinite
*/
boolean_T rtIsInfF(real32_T value)
{
return(((value)==rtInfF || (value)==rtMinusInfF) ? 1U : 0U);
}
/* Function: rtIsNaN ==================================================
* Abstract:
* Test if value is not a number
*/
boolean_T rtIsNaN(real_T value)
{
#if defined(_MSC_VER) && (_MSC_VER <= 1200)
return _isnan(value)? TRUE:FALSE;
#else
return (value!=value)? 1U:0U;
#endif
}
/* Function: rtIsNaNF =================================================
* Abstract:
* Test if single-precision value is not a number
*/
boolean_T rtIsNaNF(real32_T value)
{
#if defined(_MSC_VER) && (_MSC_VER <= 1200)
return _isnan((real_T)value)? true:false;
#else
return (value!=value)? 1U:0U;
#endif
}
/* End of code generation (rt_nonfinite.c) */
@@ -1,53 +0,0 @@
/*
* rt_nonfinite.h
*
* Code generation for function 'attitudeKalmanfilter'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
#ifndef __RT_NONFINITE_H__
#define __RT_NONFINITE_H__
#if defined(_MSC_VER) && (_MSC_VER <= 1200)
#include <float.h>
#endif
#include <stddef.h>
#include "rtwtypes.h"
extern real_T rtInf;
extern real_T rtMinusInf;
extern real_T rtNaN;
extern real32_T rtInfF;
extern real32_T rtMinusInfF;
extern real32_T rtNaNF;
extern void rt_InitInfAndNaN(size_t realSize);
extern boolean_T rtIsInf(real_T value);
extern boolean_T rtIsInfF(real32_T value);
extern boolean_T rtIsNaN(real_T value);
extern boolean_T rtIsNaNF(real32_T value);
typedef struct {
struct {
uint32_T wordH;
uint32_T wordL;
} words;
} BigEndianIEEEDouble;
typedef struct {
struct {
uint32_T wordL;
uint32_T wordH;
} words;
} LittleEndianIEEEDouble;
typedef struct {
union {
real32_T wordLreal;
uint32_T wordLuint;
} wordL;
} IEEESingle;
#endif
/* End of code generation (rt_nonfinite.h) */
+160 -159
View File
@@ -1,159 +1,160 @@
/*
* rtwtypes.h
*
* Code generation for function 'attitudeKalmanfilter'
*
* C source code generated on: Sat Jan 19 15:25:29 2013
*
*/
#ifndef __RTWTYPES_H__
#define __RTWTYPES_H__
#ifndef TRUE
# define TRUE (1U)
#endif
#ifndef FALSE
# define FALSE (0U)
#endif
#ifndef __TMWTYPES__
#define __TMWTYPES__
#include <limits.h>
/*=======================================================================*
* Target hardware information
* Device type: Generic->MATLAB Host Computer
* Number of bits: char: 8 short: 16 int: 32
* long: 32 native word size: 32
* Byte ordering: LittleEndian
* Signed integer division rounds to: Zero
* Shift right on a signed integer as arithmetic shift: on
*=======================================================================*/
/*=======================================================================*
* Fixed width word size data types: *
* int8_T, int16_T, int32_T - signed 8, 16, or 32 bit integers *
* uint8_T, uint16_T, uint32_T - unsigned 8, 16, or 32 bit integers *
* real32_T, real64_T - 32 and 64 bit floating point numbers *
*=======================================================================*/
typedef signed char int8_T;
typedef unsigned char uint8_T;
typedef short int16_T;
typedef unsigned short uint16_T;
typedef int int32_T;
typedef unsigned int uint32_T;
typedef float real32_T;
typedef double real64_T;
/*===========================================================================*
* Generic type definitions: real_T, time_T, boolean_T, int_T, uint_T, *
* ulong_T, char_T and byte_T. *
*===========================================================================*/
typedef double real_T;
typedef double time_T;
typedef unsigned char boolean_T;
typedef int int_T;
typedef unsigned int uint_T;
typedef unsigned long ulong_T;
typedef char char_T;
typedef char_T byte_T;
/*===========================================================================*
* Complex number type definitions *
*===========================================================================*/
#define CREAL_T
typedef struct {
real32_T re;
real32_T im;
} creal32_T;
typedef struct {
real64_T re;
real64_T im;
} creal64_T;
typedef struct {
real_T re;
real_T im;
} creal_T;
typedef struct {
int8_T re;
int8_T im;
} cint8_T;
typedef struct {
uint8_T re;
uint8_T im;
} cuint8_T;
typedef struct {
int16_T re;
int16_T im;
} cint16_T;
typedef struct {
uint16_T re;
uint16_T im;
} cuint16_T;
typedef struct {
int32_T re;
int32_T im;
} cint32_T;
typedef struct {
uint32_T re;
uint32_T im;
} cuint32_T;
/*=======================================================================*
* Min and Max: *
* int8_T, int16_T, int32_T - signed 8, 16, or 32 bit integers *
* uint8_T, uint16_T, uint32_T - unsigned 8, 16, or 32 bit integers *
*=======================================================================*/
#define MAX_int8_T ((int8_T)(127))
#define MIN_int8_T ((int8_T)(-128))
#define MAX_uint8_T ((uint8_T)(255))
#define MIN_uint8_T ((uint8_T)(0))
#define MAX_int16_T ((int16_T)(32767))
#define MIN_int16_T ((int16_T)(-32768))
#define MAX_uint16_T ((uint16_T)(65535))
#define MIN_uint16_T ((uint16_T)(0))
#define MAX_int32_T ((int32_T)(2147483647))
#define MIN_int32_T ((int32_T)(-2147483647-1))
#define MAX_uint32_T ((uint32_T)(0xFFFFFFFFU))
#define MIN_uint32_T ((uint32_T)(0))
/* Logical type definitions */
#if !defined(__cplusplus) && !defined(__true_false_are_keywords)
# ifndef false
# define false (0U)
# endif
# ifndef true
# define true (1U)
# endif
#endif
/*
* MATLAB for code generation assumes the code is compiled on a target using a 2's compliment representation
* for signed integer values.
*/
#if ((SCHAR_MIN + 1) != -SCHAR_MAX)
#error "This code must be compiled using a 2's complement representation for signed integer values"
#endif
/*
* Maximum length of a MATLAB identifier (function/variable)
* including the null-termination character. Referenced by
* rt_logging.c and rt_matrx.c.
*/
#define TMW_NAME_LENGTH_MAX 64
#endif
#endif
/* End of code generation (rtwtypes.h) */
/*
* rtwtypes.h
*
* Code generation for function 'AttitudeEKF'
*
* C source code generated on: Fri Jul 25 14:06:41 2014
*
*/
#ifndef __RTWTYPES_H__
#define __RTWTYPES_H__
#ifndef TRUE
# define TRUE (1U)
#endif
#ifndef FALSE
# define FALSE (0U)
#endif
#ifndef __TMWTYPES__
#define __TMWTYPES__
#include <limits.h>
/*=======================================================================*
* Target hardware information
* Device type: ARM Compatible->ARM Cortex
* Number of bits: char: 8 short: 16 int: 32
* long: 32
* native word size: 32
* Byte ordering: LittleEndian
* Signed integer division rounds to: Undefined
* Shift right on a signed integer as arithmetic shift: on
*=======================================================================*/
/*=======================================================================*
* Fixed width word size data types: *
* int8_T, int16_T, int32_T - signed 8, 16, or 32 bit integers *
* uint8_T, uint16_T, uint32_T - unsigned 8, 16, or 32 bit integers *
* real32_T, real64_T - 32 and 64 bit floating point numbers *
*=======================================================================*/
typedef signed char int8_T;
typedef unsigned char uint8_T;
typedef short int16_T;
typedef unsigned short uint16_T;
typedef int int32_T;
typedef unsigned int uint32_T;
typedef float real32_T;
typedef double real64_T;
/*===========================================================================*
* Generic type definitions: real_T, time_T, boolean_T, int_T, uint_T, *
* ulong_T, char_T and byte_T. *
*===========================================================================*/
typedef double real_T;
typedef double time_T;
typedef unsigned char boolean_T;
typedef int int_T;
typedef unsigned int uint_T;
typedef unsigned long ulong_T;
typedef char char_T;
typedef char_T byte_T;
/*===========================================================================*
* Complex number type definitions *
*===========================================================================*/
#define CREAL_T
typedef struct {
real32_T re;
real32_T im;
} creal32_T;
typedef struct {
real64_T re;
real64_T im;
} creal64_T;
typedef struct {
real_T re;
real_T im;
} creal_T;
typedef struct {
int8_T re;
int8_T im;
} cint8_T;
typedef struct {
uint8_T re;
uint8_T im;
} cuint8_T;
typedef struct {
int16_T re;
int16_T im;
} cint16_T;
typedef struct {
uint16_T re;
uint16_T im;
} cuint16_T;
typedef struct {
int32_T re;
int32_T im;
} cint32_T;
typedef struct {
uint32_T re;
uint32_T im;
} cuint32_T;
/*=======================================================================*
* Min and Max: *
* int8_T, int16_T, int32_T - signed 8, 16, or 32 bit integers *
* uint8_T, uint16_T, uint32_T - unsigned 8, 16, or 32 bit integers *
*=======================================================================*/
#define MAX_int8_T ((int8_T)(127))
#define MIN_int8_T ((int8_T)(-128))
#define MAX_uint8_T ((uint8_T)(255))
#define MIN_uint8_T ((uint8_T)(0))
#define MAX_int16_T ((int16_T)(32767))
#define MIN_int16_T ((int16_T)(-32768))
#define MAX_uint16_T ((uint16_T)(65535))
#define MIN_uint16_T ((uint16_T)(0))
#define MAX_int32_T ((int32_T)(2147483647))
#define MIN_int32_T ((int32_T)(-2147483647-1))
#define MAX_uint32_T ((uint32_T)(0xFFFFFFFFU))
#define MIN_uint32_T ((uint32_T)(0))
/* Logical type definitions */
#if !defined(__cplusplus) && !defined(__true_false_are_keywords)
# ifndef false
# define false (0U)
# endif
# ifndef true
# define true (1U)
# endif
#endif
/*
* MATLAB for code generation assumes the code is compiled on a target using a 2's compliment representation
* for signed integer values.
*/
#if ((SCHAR_MIN + 1) != -SCHAR_MAX)
#error "This code must be compiled using a 2's complement representation for signed integer values"
#endif
/*
* Maximum length of a MATLAB identifier (function/variable)
* including the null-termination character. Referenced by
* rt_logging.c and rt_matrx.c.
*/
#define TMW_NAME_LENGTH_MAX 64
#endif
#endif
/* End of code generation (rtwtypes.h) */
+1 -11
View File
@@ -39,16 +39,6 @@ MODULE_COMMAND = attitude_estimator_ekf
SRCS = attitude_estimator_ekf_main.cpp \
attitude_estimator_ekf_params.c \
codegen/eye.c \
codegen/attitudeKalmanfilter.c \
codegen/mrdivide.c \
codegen/rdivide.c \
codegen/attitudeKalmanfilter_initialize.c \
codegen/attitudeKalmanfilter_terminate.c \
codegen/rt_nonfinite.c \
codegen/rtGetInf.c \
codegen/rtGetNaN.c \
codegen/norm.c \
codegen/cross.c
codegen/AttitudeEKF.c
MODULE_STACKSIZE = 1200