AP_InertialSensor: New fallback type = NONE, which successfully does nothing like an INS, but without needing a real one, like esp32 dev boards.

Good for boards that u want to boot even when they dont have an IMU attached.
Author: Charles Villard <charlesvillard10@gmail.com>
Author: Buzz <davidbuzz@gmail.com>
This commit is contained in:
Buzz 2021-10-27 18:06:41 +10:00 committed by Andrew Tridgell
parent ecfdd80bc7
commit 168dc34566
3 changed files with 394 additions and 0 deletions

View File

@ -27,6 +27,7 @@
#include "AP_InertialSensor_ADIS1647x.h"
#include "AP_InertialSensor_ExternalAHRS.h"
#include "AP_InertialSensor_Invensensev3.h"
#include "AP_InertialSensor_NONE.h"
/* Define INS_TIMING_DEBUG to track down scheduling issues with the main loop.
* Output is on the debug console. */
@ -1087,7 +1088,15 @@ AP_InertialSensor::detect_backends(void)
#endif
if (_backend_count == 0) {
// no real INS backends avail, lets use an empty substitute to boot ok and get to mavlink
#if CONFIG_HAL_BOARD == HAL_BOARD_ESP32
ADD_BACKEND(AP_InertialSensor_NONE::detect(*this, INS_NONE_SENSOR_A));
#else
hal.console->printf("INS: unable to initialise driver\n");
GCS_SEND_TEXT(MAV_SEVERITY_DEBUG, "INS: unable to initialise driver");
AP_BoardConfig::config_error("INS: unable to initialise driver");
#endif
}
}

View File

@ -0,0 +1,327 @@
#include <AP_HAL/AP_HAL.h>
#include "AP_InertialSensor_NONE.h"
#include <SITL/SITL.h>
#include <stdio.h>
#include <GCS_MAVLink/GCS.h>
#if CONFIG_HAL_BOARD == HAL_BOARD_ESP32
float rand_float(void)
{
return ((((unsigned)random()) % 2000000) - 1.0e6) / 1.0e6;
}
const extern AP_HAL::HAL& hal;
AP_InertialSensor_NONE::AP_InertialSensor_NONE(AP_InertialSensor &imu, const uint16_t sample_rates[]) :
AP_InertialSensor_Backend(imu),
gyro_sample_hz(sample_rates[0]),
accel_sample_hz(sample_rates[1])
{
}
/*
detect the sensor
*/
AP_InertialSensor_Backend *AP_InertialSensor_NONE::detect(AP_InertialSensor &_imu, const uint16_t sample_rates[])
{
AP_InertialSensor_NONE *sensor = new AP_InertialSensor_NONE(_imu, sample_rates);
if (sensor == nullptr) {
return nullptr;
}
if (!sensor->init_sensor()) {
delete sensor;
return nullptr;
}
return sensor;
}
bool AP_InertialSensor_NONE::init_sensor(void)
{
return true;
}
void AP_InertialSensor_NONE::accumulate()
{
// nothing to do
}
// calculate a noisy noise component
static float calculate_noise(float noise, float noise_variation) {
return noise * (1.0f + noise_variation * rand_float());
}
/*
generate an accelerometer sample
*/
void AP_InertialSensor_NONE::generate_accel()
{
Vector3f accel_accum;
uint8_t nsamples = enable_fast_sampling(accel_instance) ? 4 : 1;
for (uint8_t j = 0; j < nsamples; j++) {
// add accel bias and noise
//Vector3f accel_bias = Vector3f{0.01,0.01,0.01};
float xAccel = 0.01;
float yAccel = 0.01;
float zAccel = 0.01;
// minimum noise levels are 2 bits, but averaged over many
// samples, giving around 0.01 m/s/s
float accel_noise = 0.01f;
float noise_variation = 0.05f;
// this smears the individual motor peaks somewhat emulating physical motors
//float freq_variation = 0.12f;
// add in sensor noise
xAccel += accel_noise * rand_float();
yAccel += accel_noise * rand_float();
zAccel += accel_noise * rand_float();
bool motors_on = 1;
// on a real 180mm copter gyro noise varies between 0.8-4 m/s/s for throttle 0.2-0.8
// giving a accel noise variation of 5.33 m/s/s over the full throttle range
if (motors_on) {
// add extra noise when the motors are on
accel_noise = 0;
}
// VIB_FREQ is a static vibration applied to each axis
const Vector3f &vibe_freq = Vector3f{0.01,0.01,0.01};
if (vibe_freq.is_zero()) {
// no rpm noise, so add in background noise if any
xAccel += accel_noise * rand_float();
yAccel += accel_noise * rand_float();
zAccel += accel_noise * rand_float();
}
if (!vibe_freq.is_zero() && motors_on) {
xAccel += sinf(accel_time * 2 * M_PI * vibe_freq.x) * calculate_noise(accel_noise, noise_variation);
yAccel += sinf(accel_time * 2 * M_PI * vibe_freq.y) * calculate_noise(accel_noise, noise_variation);
zAccel += sinf(accel_time * 2 * M_PI * vibe_freq.z) * calculate_noise(accel_noise, noise_variation);
accel_time += 1.0f / (accel_sample_hz * nsamples);
}
// VIB_MOT_MAX is a rpm-scaled vibration applied to each axis
if ( motors_on) {
for (uint8_t i = 0; i < 4; i++) {
float &phase = accel_motor_phase[i];
float motor_freq = 50;
float phase_incr = motor_freq * 2 * M_PI / (accel_sample_hz * nsamples);
phase += phase_incr;
if (phase_incr > M_PI) {
phase -= 2 * M_PI;
}
else if (phase_incr < -M_PI) {
phase += 2 * M_PI;
}
xAccel += sinf(phase) * calculate_noise(accel_noise * 0.01, noise_variation);
yAccel += sinf(phase) * calculate_noise(accel_noise *0.01, noise_variation);
zAccel += sinf(phase) * calculate_noise(accel_noise * 0.01, noise_variation);
}
}
// correct for the acceleration due to the IMU position offset and angular acceleration
// correct for the centripetal acceleration
// only apply corrections to first accelerometer
Vector3f pos_offset = Vector3f{0.01,0.01,0.01};
if (!pos_offset.is_zero()) {
// calculate sensed acceleration due to lever arm effect
// Note: the % operator has been overloaded to provide a cross product
Vector3f angular_accel = Vector3f(radians(0.01), radians(0.01), radians(0.01));
Vector3f lever_arm_accel = angular_accel % pos_offset;
// calculate sensed acceleration due to centripetal acceleration
Vector3f angular_rate = Vector3f(radians(0.01), radians(0.01), radians(0.01));
Vector3f centripetal_accel = angular_rate % (angular_rate % pos_offset);
// apply corrections
xAccel += lever_arm_accel.x + centripetal_accel.x;
yAccel += lever_arm_accel.y + centripetal_accel.y;
zAccel += lever_arm_accel.z + centripetal_accel.z;
}
if (fabsf(xAccel) > 1.0e-6f) {
xAccel = 0.01;
yAccel = 0.01;
zAccel = 0.01;
}
Vector3f accel = Vector3f(xAccel, yAccel, zAccel);
_notify_new_accel_sensor_rate_sample(accel_instance, accel);
accel_accum += accel;
}
accel_accum /= nsamples;
_rotate_and_correct_accel(accel_instance, accel_accum);
_notify_new_accel_raw_sample(accel_instance, accel_accum, AP_HAL::micros64());
_publish_temperature(accel_instance, 23);
}
/*
generate a gyro sample
*/
void AP_InertialSensor_NONE::generate_gyro()
{
Vector3f gyro_accum;
uint8_t nsamples = enable_fast_sampling(gyro_instance) ? 8 : 1;
for (uint8_t j = 0; j < nsamples; j++) {
float p = radians(0.01) + gyro_drift();
float q = radians(0.01) + gyro_drift();
float r = radians(0.01) + gyro_drift();
// minimum gyro noise is less than 1 bit
float gyro_noise = ToRad(0.04f);
float noise_variation = 0.05f;
// this smears the individual motor peaks somewhat emulating physical motors
float freq_variation = 0.12f;
// add in sensor noise
p += gyro_noise * rand_float();
q += gyro_noise * rand_float();
r += gyro_noise * rand_float();
bool motors_on = 1;
// on a real 180mm copter gyro noise varies between 0.2-0.4 rad/s for throttle 0.2-0.8
// giving a gyro noise variation of 0.33 rad/s or 20deg/s over the full throttle range
if (motors_on) {
// add extra noise when the motors are on
gyro_noise = ToRad(0.01) * 0.01;
}
// VIB_FREQ is a static vibration applied to each axis
const Vector3f &vibe_freq = Vector3f{0.01,0.01,0.01};
if ( vibe_freq.is_zero() ) {
// no rpm noise, so add in background noise if any
p += gyro_noise * rand_float();
q += gyro_noise * rand_float();
r += gyro_noise * rand_float();
}
if (!vibe_freq.is_zero() && motors_on) {
p += sinf(gyro_time * 2 * M_PI * vibe_freq.x) * calculate_noise(gyro_noise, noise_variation);
q += sinf(gyro_time * 2 * M_PI * vibe_freq.y) * calculate_noise(gyro_noise, noise_variation);
r += sinf(gyro_time * 2 * M_PI * vibe_freq.z) * calculate_noise(gyro_noise, noise_variation);
gyro_time += 1.0f / (gyro_sample_hz * nsamples);
}
// VIB_MOT_MAX is a rpm-scaled vibration applied to each axis
if ( motors_on) {
for (uint8_t i = 0; i < 4; i++) {
float motor_freq = calculate_noise(0.01 / 60.0f, freq_variation);
float phase_incr = motor_freq * 2 * M_PI / (gyro_sample_hz * nsamples);
float &phase = gyro_motor_phase[i];
phase += phase_incr;
if (phase_incr > M_PI) {
phase -= 2 * M_PI;
}
else if (phase_incr < -M_PI) {
phase += 2 * M_PI;
}
p += sinf(phase) * calculate_noise(gyro_noise * 0.01, noise_variation);
q += sinf(phase) * calculate_noise(gyro_noise * 0.01, noise_variation);
r += sinf(phase) * calculate_noise(gyro_noise * 0.01, noise_variation);
}
}
Vector3f gyro = Vector3f(p, q, r);
// add in gyro scaling
Vector3f scale = Vector3f{0.01,0.01,0.01};
gyro.x *= (1 + scale.x * 0.01f);
gyro.y *= (1 + scale.y * 0.01f);
gyro.z *= (1 + scale.z * 0.01f);
gyro_accum += gyro;
_notify_new_gyro_sensor_rate_sample(gyro_instance, gyro);
}
gyro_accum /= nsamples;
_rotate_and_correct_gyro(gyro_instance, gyro_accum);
_notify_new_gyro_raw_sample(gyro_instance, gyro_accum, AP_HAL::micros64());
}
void AP_InertialSensor_NONE::timer_update(void)
{
uint64_t now = AP_HAL::micros64();
static uint64_t last_msg_sent = 0;
if (now > last_msg_sent + 2000000) { //2sec= 2000ms = 2000000us
//gcs().send_text(MAV_SEVERITY_WARNING, "NO IMU FOUND");
hal.console->printf("INS: NO IMU FOUND\n");
last_msg_sent = now;
}
if (now >= next_accel_sample) {
if (((1U << accel_instance) ) == 0) {
generate_accel();
if (next_accel_sample == 0) {
next_accel_sample = now + 1000000UL / accel_sample_hz;
} else {
while (now >= next_accel_sample) {
next_accel_sample += 1000000UL / accel_sample_hz;
}
}
}
}
if (now >= next_gyro_sample) {
if (((1U << gyro_instance) ) == 0) {
generate_gyro();
if (next_gyro_sample == 0) {
next_gyro_sample = now + 1000000UL / gyro_sample_hz;
} else {
while (now >= next_gyro_sample) {
next_gyro_sample += 1000000UL / gyro_sample_hz;
}
}
}
}
}
float AP_InertialSensor_NONE::gyro_drift(void)
{
double period = 0.01 * 2;
double minutes = fmod(AP_HAL::micros64() / 60.0e6, period);
if (minutes < period/2) {
return minutes * ToRad(0.01);
}
return (period - minutes) * ToRad(0.01);
}
bool AP_InertialSensor_NONE::update(void)
{
update_accel(accel_instance);
update_gyro(gyro_instance);
return true;
}
uint8_t AP_InertialSensor_NONE::bus_id = 0;
void AP_InertialSensor_NONE::start()
{
if (!_imu.register_gyro(gyro_instance, gyro_sample_hz,
AP_HAL::Device::make_bus_id(AP_HAL::Device::BUS_TYPE_SITL, bus_id, 1, DEVTYPE_SITL)) ||
!_imu.register_accel(accel_instance, accel_sample_hz,
AP_HAL::Device::make_bus_id(AP_HAL::Device::BUS_TYPE_SITL, bus_id, 2, DEVTYPE_SITL))) {
return;
}
bus_id++;
hal.scheduler->register_timer_process(FUNCTOR_BIND_MEMBER(&AP_InertialSensor_NONE::timer_update, void));
}
#endif // HAL_BOARD_NONE

View File

@ -0,0 +1,58 @@
#pragma once
#include <SITL/SITL.h>
#include <GCS_MAVLink/GCS.h>
/*
This is a 'mock' implementation of an INS that does nothing and gives a level HUD, but does it successfully.
Its useful for boards that don't have any form of IMU accel/gyro etc connected just yet, but where u want to boot-up "successfully" anyway,
such as the ESP32, to allow wifi connectivity to startup, and alow mavlink to start streaming anyway.
Its a rip-off of _SITL with all the sitl stuff removed or replaced with constants.
*/
#if CONFIG_HAL_BOARD == HAL_BOARD_ESP32
#include "AP_InertialSensor.h"
#include "AP_InertialSensor_Backend.h"
// simulated sensor rates in Hz. This matches a pixhawk1
const uint16_t INS_NONE_SENSOR_A[] = { 1000, 1000 };
class AP_InertialSensor_NONE : public AP_InertialSensor_Backend
{
public:
AP_InertialSensor_NONE(AP_InertialSensor &imu, const uint16_t sample_rates[]);
/* update accel and gyro state */
bool update() override;
void start() override;
void accumulate() override;
// detect the sensor
static AP_InertialSensor_Backend *detect(AP_InertialSensor &imu, const uint16_t sample_rates[]);
private:
bool init_sensor(void);
void timer_update();
float gyro_drift(void);
void generate_accel();
void generate_gyro();
//float rand_float(void);
//SITL::SITL *sitl;
const uint16_t gyro_sample_hz;
const uint16_t accel_sample_hz;
uint8_t gyro_instance;
uint8_t accel_instance;
uint64_t next_gyro_sample;
uint64_t next_accel_sample;
float gyro_time;
float accel_time;
float gyro_motor_phase[12];
float accel_motor_phase[12];
static uint8_t bus_id;
};
#endif // CONFIG_HAL_BOARD