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- accel cal use Accelerometer calibration class to fully respect rotation (both internal and external sensors)
560 lines
18 KiB
C++
560 lines
18 KiB
C++
/****************************************************************************
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*
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* Copyright (c) 2013-2020 PX4 Development Team. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in
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* the documentation and/or other materials provided with the
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* distribution.
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* 3. Neither the name PX4 nor the names of its contributors may be
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* used to endorse or promote products derived from this software
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* without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
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* OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
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* AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*
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****************************************************************************/
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/**
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* @file accelerometer_calibration.cpp
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*
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* Implementation of accelerometer calibration.
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*
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* Transform acceleration vector to true orientation, scale and offset
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*
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* ===== Model =====
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* accel_corr = accel_T * (accel_raw - accel_offs)
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*
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* accel_corr[3] - fully corrected acceleration vector in body frame
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* accel_T[3][3] - accelerometers transform matrix, rotation and scaling transform
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* accel_raw[3] - raw acceleration vector
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* accel_offs[3] - acceleration offset vector
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*
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* ===== Calibration =====
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*
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* Reference vectors
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* accel_corr_ref[6][3] = [ g 0 0 ] // nose up
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* | -g 0 0 | // nose down
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* | 0 g 0 | // left side down
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* | 0 -g 0 | // right side down
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* | 0 0 g | // on back
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* [ 0 0 -g ] // level
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* accel_raw_ref[6][3]
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*
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* accel_corr_ref[i] = accel_T * (accel_raw_ref[i] - accel_offs), i = 0...5
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*
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* 6 reference vectors * 3 axes = 18 equations
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* 9 (accel_T) + 3 (accel_offs) = 12 unknown constants
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*
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* Find accel_offs
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*
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* accel_offs[i] = (accel_raw_ref[i*2][i] + accel_raw_ref[i*2+1][i]) / 2
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*
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* Find accel_T
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*
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* 9 unknown constants
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* need 9 equations -> use 3 of 6 measurements -> 3 * 3 = 9 equations
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*
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* accel_corr_ref[i*2] = accel_T * (accel_raw_ref[i*2] - accel_offs), i = 0...2
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*
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* Solve separate system for each row of accel_T:
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*
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* accel_corr_ref[j*2][i] = accel_T[i] * (accel_raw_ref[j*2] - accel_offs), j = 0...2
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*
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* A * x = b
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*
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* x = [ accel_T[0][i] ]
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* | accel_T[1][i] |
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* [ accel_T[2][i] ]
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*
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* b = [ accel_corr_ref[0][i] ] // One measurement per side is enough
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* | accel_corr_ref[2][i] |
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* [ accel_corr_ref[4][i] ]
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*
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* a[i][j] = accel_raw_ref[i][j] - accel_offs[j], i = 0;2;4, j = 0...2
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*
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* Matrix A is common for all three systems:
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* A = [ a[0][0] a[0][1] a[0][2] ]
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* | a[2][0] a[2][1] a[2][2] |
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* [ a[4][0] a[4][1] a[4][2] ]
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*
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* x = A^-1 * b
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*
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* accel_T = A^-1 * g
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* g = 9.80665
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*
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* ===== Rotation =====
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*
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* Calibrating using model:
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* accel_corr = accel_T_r * (rot * accel_raw - accel_offs_r)
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*
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* Actual correction:
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* accel_corr = rot * accel_T * (accel_raw - accel_offs)
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*
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* Known: accel_T_r, accel_offs_r, rot
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* Unknown: accel_T, accel_offs
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*
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* Solution:
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* accel_T_r * (rot * accel_raw - accel_offs_r) = rot * accel_T * (accel_raw - accel_offs)
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* rot^-1 * accel_T_r * (rot * accel_raw - accel_offs_r) = accel_T * (accel_raw - accel_offs)
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* rot^-1 * accel_T_r * rot * accel_raw - rot^-1 * accel_T_r * accel_offs_r = accel_T * accel_raw - accel_T * accel_offs)
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* => accel_T = rot^-1 * accel_T_r * rot
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* => accel_offs = rot^-1 * accel_offs_r
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*
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* @author Anton Babushkin <anton.babushkin@me.com>
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*/
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#include "accelerometer_calibration.h"
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#include "calibration_messages.h"
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#include "calibration_routines.h"
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#include "commander_helper.h"
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#include "factory_calibration_storage.h"
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#include <px4_platform_common/defines.h>
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#include <px4_platform_common/posix.h>
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#include <px4_platform_common/time.h>
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#include <drivers/drv_hrt.h>
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#include <lib/sensor_calibration/Accelerometer.hpp>
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#include <lib/sensor_calibration/Utilities.hpp>
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#include <lib/mathlib/mathlib.h>
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#include <lib/geo/geo.h>
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#include <matrix/math.hpp>
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#include <lib/conversion/rotation.h>
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#include <lib/parameters/param.h>
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#include <lib/systemlib/err.h>
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#include <lib/systemlib/mavlink_log.h>
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#include <uORB/Subscription.hpp>
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#include <uORB/SubscriptionBlocking.hpp>
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#include <uORB/SubscriptionMultiArray.hpp>
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#include <uORB/topics/sensor_accel.h>
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#include <uORB/topics/vehicle_attitude.h>
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using namespace matrix;
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using namespace time_literals;
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static constexpr char sensor_name[] {"accel"};
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static constexpr unsigned MAX_ACCEL_SENS = 4;
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/// Data passed to calibration worker routine
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struct accel_worker_data_s {
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orb_advert_t *mavlink_log_pub{nullptr};
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unsigned done_count{0};
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float accel_ref[MAX_ACCEL_SENS][detect_orientation_side_count][3] {};
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calibration::Accelerometer calibration[MAX_ACCEL_SENS] {};
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};
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// Read specified number of accelerometer samples, calculate average and dispersion.
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static calibrate_return read_accelerometer_avg(accel_worker_data_s *worker_data, unsigned orient, unsigned samples_num)
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{
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Vector3f accel_sum[MAX_ACCEL_SENS] {};
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unsigned counts[MAX_ACCEL_SENS] {};
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unsigned errcount = 0;
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uORB::SubscriptionBlocking<sensor_accel_s> accel_sub[MAX_ACCEL_SENS] {
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{ORB_ID(sensor_accel), 0, 0},
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{ORB_ID(sensor_accel), 0, 1},
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{ORB_ID(sensor_accel), 0, 2},
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{ORB_ID(sensor_accel), 0, 3},
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};
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/* use the first sensor to pace the readout, but do per-sensor counts */
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while (counts[0] < samples_num) {
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if (accel_sub[0].updatedBlocking(100000)) {
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for (unsigned accel_index = 0; accel_index < MAX_ACCEL_SENS; accel_index++) {
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sensor_accel_s arp;
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while (accel_sub[accel_index].update(&arp)) {
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// fetch optional thermal offset corrections
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worker_data->calibration[accel_index].SensorCorrectionsUpdate();
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accel_sum[accel_index] += worker_data->calibration[accel_index].Correct(Vector3f(arp.x, arp.y, arp.z));
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counts[accel_index]++;
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}
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}
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} else {
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errcount++;
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continue;
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}
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if (errcount > samples_num / 10) {
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return calibrate_return_error;
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}
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}
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for (unsigned s = 0; s < MAX_ACCEL_SENS; s++) {
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const Vector3f avg{accel_sum[s] / counts[s]};
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avg.copyTo(worker_data->accel_ref[s][orient]);
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}
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return calibrate_return_ok;
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}
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static calibrate_return accel_calibration_worker(detect_orientation_return orientation, void *data)
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{
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static constexpr unsigned samples_num = 750;
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accel_worker_data_s *worker_data = (accel_worker_data_s *)(data);
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calibration_log_info(worker_data->mavlink_log_pub, "[cal] Hold still, measuring %s side",
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detect_orientation_str(orientation));
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read_accelerometer_avg(worker_data, orientation, samples_num);
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// check accel
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for (unsigned accel_index = 0; accel_index < MAX_ACCEL_SENS; accel_index++) {
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switch (orientation) {
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case ORIENTATION_TAIL_DOWN: // [ g, 0, 0 ]
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if (worker_data->accel_ref[accel_index][ORIENTATION_TAIL_DOWN][0] < 0.f) {
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calibration_log_emergency(worker_data->mavlink_log_pub, "[cal] accel %d invalid X-axis, check rotation", accel_index);
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return calibrate_return_error;
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}
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break;
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case ORIENTATION_NOSE_DOWN: // [ -g, 0, 0 ]
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if (worker_data->accel_ref[accel_index][ORIENTATION_NOSE_DOWN][0] > 0.f) {
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calibration_log_emergency(worker_data->mavlink_log_pub, "[cal] accel %d invalid X-axis, check rotation", accel_index);
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return calibrate_return_error;
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}
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break;
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case ORIENTATION_LEFT: // [ 0, g, 0 ]
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if (worker_data->accel_ref[accel_index][ORIENTATION_LEFT][1] < 0.f) {
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calibration_log_emergency(worker_data->mavlink_log_pub, "[cal] accel %d invalid Y-axis, check rotation", accel_index);
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return calibrate_return_error;
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}
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break;
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case ORIENTATION_RIGHT: // [ 0, -g, 0 ]
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if (worker_data->accel_ref[accel_index][ORIENTATION_RIGHT][1] > 0.f) {
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calibration_log_emergency(worker_data->mavlink_log_pub, "[cal] accel %d invalid Y-axis, check rotation", accel_index);
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return calibrate_return_error;
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}
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break;
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case ORIENTATION_UPSIDE_DOWN: // [ 0, 0, g ]
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if (worker_data->accel_ref[accel_index][ORIENTATION_UPSIDE_DOWN][2] < 0.f) {
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calibration_log_emergency(worker_data->mavlink_log_pub, "[cal] accel %d invalid Z-axis, check rotation", accel_index);
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return calibrate_return_error;
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}
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break;
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case ORIENTATION_RIGHTSIDE_UP: // [ 0, 0, -g ]
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if (worker_data->accel_ref[accel_index][ORIENTATION_RIGHTSIDE_UP][2] > 0.f) {
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calibration_log_emergency(worker_data->mavlink_log_pub, "[cal] accel %d invalid Z-axis, check rotation", accel_index);
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return calibrate_return_error;
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}
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break;
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default:
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break;
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}
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}
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calibration_log_info(worker_data->mavlink_log_pub, "[cal] %s side result: [%.3f %.3f %.3f]",
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detect_orientation_str(orientation),
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(double)worker_data->accel_ref[0][orientation][0],
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(double)worker_data->accel_ref[0][orientation][1],
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(double)worker_data->accel_ref[0][orientation][2]);
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worker_data->done_count++;
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calibration_log_info(worker_data->mavlink_log_pub, CAL_QGC_PROGRESS_MSG, 17 * worker_data->done_count);
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return calibrate_return_ok;
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}
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int do_accel_calibration(orb_advert_t *mavlink_log_pub)
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{
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calibration_log_info(mavlink_log_pub, CAL_QGC_STARTED_MSG, sensor_name);
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accel_worker_data_s worker_data{};
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worker_data.mavlink_log_pub = mavlink_log_pub;
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unsigned active_sensors = 0;
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for (uint8_t cur_accel = 0; cur_accel < MAX_ACCEL_SENS; cur_accel++) {
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uORB::SubscriptionData<sensor_accel_s> accel_sub{ORB_ID(sensor_accel), cur_accel};
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if (accel_sub.advertised() && (accel_sub.get().device_id != 0) && (accel_sub.get().timestamp > 0)) {
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worker_data.calibration[cur_accel].set_device_id(accel_sub.get().device_id);
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// clear existing calibration
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worker_data.calibration[cur_accel].Reset();
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// force fetch optional thermal offset corrections
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worker_data.calibration[cur_accel].SensorCorrectionsUpdate(true);
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active_sensors++;
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} else {
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worker_data.calibration[cur_accel].Reset();
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}
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}
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if (active_sensors == 0) {
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calibration_log_critical(mavlink_log_pub, CAL_ERROR_SENSOR_MSG);
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return PX4_ERROR;
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}
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FactoryCalibrationStorage factory_storage;
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if (factory_storage.open() != PX4_OK) {
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calibration_log_critical(mavlink_log_pub, "ERROR: cannot open calibration storage");
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return PX4_ERROR;
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}
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/* measure and calculate offsets & scales */
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bool data_collected[detect_orientation_side_count] {};
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if (calibrate_from_orientation(mavlink_log_pub, data_collected, accel_calibration_worker, &worker_data,
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false) == calibrate_return_ok) {
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bool param_save = false;
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bool failed = true;
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for (unsigned i = 0; i < MAX_ACCEL_SENS; i++) {
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if (i < active_sensors) {
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// calculate offsets
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Vector3f offset{};
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// X offset: average X from TAIL_DOWN + NOSE_DOWN
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const Vector3f accel_tail_down{worker_data.accel_ref[i][ORIENTATION_TAIL_DOWN]};
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const Vector3f accel_nose_down{worker_data.accel_ref[i][ORIENTATION_NOSE_DOWN]};
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offset(0) = (accel_tail_down(0) + accel_nose_down(0)) * 0.5f;
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// Y offset: average Y from LEFT + RIGHT
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const Vector3f accel_left{worker_data.accel_ref[i][ORIENTATION_LEFT]};
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const Vector3f accel_right{worker_data.accel_ref[i][ORIENTATION_RIGHT]};
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offset(1) = (accel_left(1) + accel_right(1)) * 0.5f;
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// Z offset: average Z from UPSIDE_DOWN + RIGHTSIDE_UP
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const Vector3f accel_upside_down{worker_data.accel_ref[i][ORIENTATION_UPSIDE_DOWN]};
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const Vector3f accel_rightside_up{worker_data.accel_ref[i][ORIENTATION_RIGHTSIDE_UP]};
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offset(2) = (accel_upside_down(2) + accel_rightside_up(2)) * 0.5f;
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// transform matrix
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Matrix3f mat_A;
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mat_A.row(0) = accel_tail_down - offset;
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mat_A.row(1) = accel_left - offset;
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mat_A.row(2) = accel_upside_down - offset;
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// calculate inverse matrix for A: simplify matrices mult because b has only one non-zero element == g at index i
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const Matrix3f accel_T = mat_A.I() * CONSTANTS_ONE_G;
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// update calibration
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worker_data.calibration[i].set_offset(offset);
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worker_data.calibration[i].set_scale(accel_T.diag());
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#if defined(DEBUD_BUILD)
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PX4_INFO("accel %d: offset", i);
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offset.print();
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PX4_INFO("accel %d: mat_A", i);
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mat_A.print();
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PX4_INFO("accel %d: accel_T", i);
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accel_T.print();
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#endif // DEBUD_BUILD
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worker_data.calibration[i].PrintStatus();
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if (worker_data.calibration[i].ParametersSave(i, true)) {
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param_save = true;
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failed = false;
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} else {
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failed = true;
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calibration_log_critical(mavlink_log_pub, "calibration save failed");
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break;
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}
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}
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}
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if (!failed && factory_storage.store() != PX4_OK) {
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failed = true;
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}
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if (param_save) {
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param_notify_changes();
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}
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if (!failed) {
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calibration_log_info(mavlink_log_pub, CAL_QGC_DONE_MSG, sensor_name);
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px4_usleep(600000); // give this message enough time to propagate
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return PX4_OK;
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}
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}
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calibration_log_critical(mavlink_log_pub, CAL_QGC_FAILED_MSG, sensor_name);
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px4_usleep(600000); // give this message enough time to propagate
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return PX4_ERROR;
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}
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int do_accel_calibration_quick(orb_advert_t *mavlink_log_pub)
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{
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#if !defined(CONSTRAINED_FLASH)
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PX4_INFO("Accelerometer quick calibration");
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bool param_save = false;
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bool failed = true;
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FactoryCalibrationStorage factory_storage;
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if (factory_storage.open() != PX4_OK) {
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calibration_log_critical(mavlink_log_pub, "ERROR: cannot open calibration storage");
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return PX4_ERROR;
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}
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// sensor thermal corrections (optional)
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uORB::Subscription sensor_correction_sub{ORB_ID(sensor_correction)};
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sensor_correction_s sensor_correction{};
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sensor_correction_sub.copy(&sensor_correction);
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uORB::SubscriptionMultiArray<sensor_accel_s, MAX_ACCEL_SENS> accel_subs{ORB_ID::sensor_accel};
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/* use the first sensor to pace the readout, but do per-sensor counts */
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for (unsigned accel_index = 0; accel_index < MAX_ACCEL_SENS; accel_index++) {
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sensor_accel_s arp{};
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Vector3f accel_sum{};
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unsigned count = 0;
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while (accel_subs[accel_index].update(&arp)) {
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// fetch optional thermal offset corrections in sensor/board frame
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if ((arp.timestamp > 0) && (arp.device_id != 0)) {
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Vector3f offset{0, 0, 0};
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if (sensor_correction.timestamp > 0) {
|
|
for (uint8_t correction_index = 0; correction_index < MAX_ACCEL_SENS; correction_index++) {
|
|
if (sensor_correction.accel_device_ids[correction_index] == arp.device_id) {
|
|
switch (correction_index) {
|
|
case 0:
|
|
offset = Vector3f{sensor_correction.accel_offset_0};
|
|
break;
|
|
case 1:
|
|
offset = Vector3f{sensor_correction.accel_offset_1};
|
|
break;
|
|
case 2:
|
|
offset = Vector3f{sensor_correction.accel_offset_2};
|
|
break;
|
|
case 3:
|
|
offset = Vector3f{sensor_correction.accel_offset_3};
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
const Vector3f accel{Vector3f{arp.x, arp.y, arp.z} - offset};
|
|
|
|
if (count > 0) {
|
|
const Vector3f diff{accel - (accel_sum / count)};
|
|
|
|
if (diff.norm() < 1.f) {
|
|
accel_sum += Vector3f{arp.x, arp.y, arp.z} - offset;
|
|
count++;
|
|
}
|
|
|
|
} else {
|
|
accel_sum = accel;
|
|
count = 1;
|
|
}
|
|
}
|
|
}
|
|
|
|
if ((count > 0) && (arp.device_id != 0)) {
|
|
|
|
bool calibrated = false;
|
|
const Vector3f accel_avg = accel_sum / count;
|
|
|
|
Vector3f offset{0.f, 0.f, 0.f};
|
|
|
|
uORB::SubscriptionData<vehicle_attitude_s> attitude_sub{ORB_ID(vehicle_attitude)};
|
|
attitude_sub.update();
|
|
|
|
if (attitude_sub.advertised() && attitude_sub.get().timestamp != 0) {
|
|
// use vehicle_attitude if available
|
|
const vehicle_attitude_s &att = attitude_sub.get();
|
|
const matrix::Quatf q{att.q};
|
|
const Vector3f accel_ref = q.rotateVectorInverse(Vector3f{0.f, 0.f, -CONSTANTS_ONE_G});
|
|
|
|
// sanity check angle between acceleration vectors
|
|
const float angle = AxisAnglef(Quatf(accel_avg, accel_ref)).angle();
|
|
|
|
if (angle <= math::radians(10.f)) {
|
|
offset = accel_avg - accel_ref;
|
|
calibrated = true;
|
|
}
|
|
}
|
|
|
|
if (!calibrated) {
|
|
// otherwise simply normalize to gravity and remove offset
|
|
Vector3f accel{accel_avg};
|
|
accel.normalize();
|
|
accel = accel * CONSTANTS_ONE_G;
|
|
|
|
offset = accel_avg - accel;
|
|
calibrated = true;
|
|
}
|
|
|
|
calibration::Accelerometer calibration{arp.device_id};
|
|
|
|
if (!calibrated || (offset.norm() > CONSTANTS_ONE_G) || !offset.isAllFinite()) {
|
|
PX4_ERR("accel %d quick calibrate failed", accel_index);
|
|
|
|
} else {
|
|
calibration.set_offset(offset);
|
|
|
|
if (calibration.ParametersSave(accel_index)) {
|
|
calibration.PrintStatus();
|
|
param_save = true;
|
|
failed = false;
|
|
|
|
} else {
|
|
failed = true;
|
|
calibration_log_critical(mavlink_log_pub, CAL_QGC_FAILED_MSG, "calibration save failed");
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if (!failed && factory_storage.store() != PX4_OK) {
|
|
failed = true;
|
|
}
|
|
|
|
if (param_save) {
|
|
param_notify_changes();
|
|
}
|
|
|
|
if (!failed) {
|
|
return PX4_OK;
|
|
}
|
|
|
|
#endif // !CONSTRAINED_FLASH
|
|
|
|
return PX4_ERROR;
|
|
}
|