PX4Gyroscope.cpp 4.31 KB
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#include "PX4Gyroscope.hpp"

#include <lib/drivers/device/Device.hpp>
#include <lib/parameters/param.h>

using namespace time_literals;
using matrix::Vector3f;

static constexpr int32_t sum(const int16_t samples[], uint8_t len)
{
	int32_t sum = 0;

	for (int n = 0; n < len; n++) {
		sum += samples[n];
	}

	return sum;
}

PX4Gyroscope::PX4Gyroscope(uint32_t device_id, enum Rotation rotation) :
	_device_id{device_id},
	_rotation{rotation}
{
	// advertise immediately to keep instance numbering in sync
	_sensor_pub.advertise();

	param_get(param_find("IMU_GYRO_RATEMAX"), &_imu_gyro_rate_max);
}

PX4Gyroscope::~PX4Gyroscope()
{
	_sensor_pub.unadvertise();
	_sensor_fifo_pub.unadvertise();
}

void PX4Gyroscope::set_device_type(uint8_t devtype)
{
	// current DeviceStructure
	union device::Device::DeviceId device_id;
	device_id.devid = _device_id;

	// update to new device type
	device_id.devid_s.devtype = devtype;

	// copy back
	_device_id = device_id.devid;
}

void PX4Gyroscope::update(const hrt_abstime &timestamp_sample, float x, float y, float z)
{
	// Apply rotation (before scaling)
	rotate_3f(_rotation, x, y, z);

	sensor_gyro_s report;

	report.timestamp_sample = timestamp_sample;
	report.device_id = _device_id;
	report.temperature = _temperature;
	report.error_count = _error_count;
	report.x = x * _scale;
	report.y = y * _scale;
	report.z = z * _scale;
	report.samples = 1;
	report.timestamp = hrt_absolute_time();

	_sensor_pub.publish(report);
}

void PX4Gyroscope::updateFIFO(sensor_gyro_fifo_s &sample)
{
	// rotate all raw samples and publish fifo
	const uint8_t N = sample.samples;

	for (int n = 0; n < N; n++) {
		rotate_3i(_rotation, sample.x[n], sample.y[n], sample.z[n]);
	}

	sample.device_id = _device_id;
	sample.scale = _scale;
	sample.timestamp = hrt_absolute_time();
	_sensor_fifo_pub.publish(sample);


	// trapezoidal integration (equally spaced, scaled by dt later)
	const Vector3f integral{
		(0.5f * (_last_sample[0] + sample.x[N - 1]) + sum(sample.x, N - 1)),
		(0.5f * (_last_sample[1] + sample.y[N - 1]) + sum(sample.y, N - 1)),
		(0.5f * (_last_sample[2] + sample.z[N - 1]) + sum(sample.z, N - 1)),
	};

	_last_sample[0] = sample.x[N - 1];
	_last_sample[1] = sample.y[N - 1];
	_last_sample[2] = sample.z[N - 1];


	const float scale = _scale / N;

	sensor_gyro_s report;

	report.timestamp_sample = sample.timestamp_sample;
	report.device_id = _device_id;
	report.temperature = _temperature;
	report.error_count = _error_count;
	report.x = integral(0) * scale;
	report.y = integral(1) * scale;
	report.z = integral(2) * scale;
	report.samples = N;
	report.timestamp = hrt_absolute_time();

	_sensor_pub.publish(report);
}