Files
PX4-Autopilot/src/modules/gyro_calibration/GyroCalibration.hpp
T
Daniel Agar 89b81b0bd6 create Welford mean Vector with covariance and improve precision with Kahan summation (#20676)
- WelfordMeanVector now computes covariance
 - use Kahan summation for Welford mean (but continue using float32 for actual mean, etc)
 - WelfordMean and WelfordMeanVector handle initial value and count roll over
 - Welford mean count rollover at 16 bit max to prevent numerical issues and shift weight to newer samples
 - sensors/vehicle_imu: update Welford mean usage (now simplified with resets removed)
    - fix vehicle_imu_status accel var, now properly rotated with full covariance matrix
 - gyro_calibration: update Welford mean usage
2022-11-30 14:50:13 -05:00

115 lines
4.2 KiB
C++

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#pragma once
#include <px4_platform_common/defines.h>
#include <px4_platform_common/module.h>
#include <px4_platform_common/module_params.h>
#include <px4_platform_common/posix.h>
#include <px4_platform_common/px4_work_queue/ScheduledWorkItem.hpp>
#include <drivers/drv_hrt.h>
#include <lib/mathlib/math/WelfordMeanVector.hpp>
#include <lib/perf/perf_counter.h>
#include <lib/sensor_calibration/Gyroscope.hpp>
#include <uORB/Subscription.hpp>
#include <uORB/SubscriptionInterval.hpp>
#include <uORB/SubscriptionMultiArray.hpp>
#include <uORB/topics/parameter_update.h>
#include <uORB/topics/sensor_accel.h>
#include <uORB/topics/sensor_gyro.h>
#include <uORB/topics/vehicle_status.h>
using namespace time_literals;
class GyroCalibration : public ModuleBase<GyroCalibration>, public ModuleParams, public px4::ScheduledWorkItem
{
public:
GyroCalibration();
~GyroCalibration() override;
/** @see ModuleBase */
static int task_spawn(int argc, char *argv[]);
/** @see ModuleBase */
static int custom_command(int argc, char *argv[]);
/** @see ModuleBase */
static int print_usage(const char *reason = nullptr);
bool init();
int print_status() override;
private:
static constexpr hrt_abstime INTERVAL_US = 20000_us;
static constexpr int MAX_SENSORS = 4;
void Run() override;
void Reset()
{
for (int gyro = 0; gyro < MAX_SENSORS; gyro++) {
_gyro_mean[gyro].reset();
_gyro_last_update[gyro] = 0;
}
_last_calibration_update = hrt_absolute_time();
}
// return the square of two floating point numbers
static constexpr float sq(float var) { return var * var; }
uORB::SubscriptionInterval _parameter_update_sub{ORB_ID(parameter_update), 1_s};
uORB::Subscription _vehicle_status_sub{ORB_ID::vehicle_status};
uORB::SubscriptionMultiArray<sensor_accel_s, MAX_SENSORS> _sensor_accel_subs{ORB_ID::sensor_accel};
uORB::SubscriptionMultiArray<sensor_gyro_s, MAX_SENSORS> _sensor_gyro_subs{ORB_ID::sensor_gyro};
calibration::Gyroscope _gyro_calibration[MAX_SENSORS] {};
math::WelfordMeanVector<float, 3> _gyro_mean[MAX_SENSORS] {};
matrix::Vector3f _gyro_cal_variance[MAX_SENSORS] {};
float _temperature[MAX_SENSORS] {};
hrt_abstime _gyro_last_update[MAX_SENSORS] {};
matrix::Vector3f _acceleration[MAX_SENSORS] {};
hrt_abstime _last_calibration_update{0};
bool _armed{false};
bool _system_calibrating{false};
perf_counter_t _loop_interval_perf{perf_alloc(PC_INTERVAL, MODULE_NAME": interval")};
perf_counter_t _calibration_updated_perf{perf_alloc(PC_COUNT, MODULE_NAME": calibration updated")};
};