Added exmaple code of lsm6do to quickly test imu

This commit is contained in:
2026-05-11 21:21:45 +12:00
parent 4d334124a7
commit 3f4bef7cbf
8 changed files with 4368 additions and 0 deletions

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idf_component_register(SRC_DIRS "."
INCLUDE_DIRS ".")

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menu "Example Configuration"
choice EXAMPLE_HARDWARE
prompt "Hardware"
default EXAMPLE_HARDWARE_QTPYPICO
help
Select the hardware to run this example on.
config EXAMPLE_HARDWARE_QTPYPICO
depends on IDF_TARGET_ESP32
bool "Qt Py PICO"
config EXAMPLE_HARDWARE_QTPYS3
depends on IDF_TARGET_ESP32S3
bool "Qt Py S3"
config EXAMPLE_HARDWARE_CUSTOM
bool "Custom"
endchoice
config EXAMPLE_I2C_SCL_GPIO
int "SCL GPIO Num"
range 0 50
default 19 if EXAMPLE_HARDWARE_QTPYPICO
default 40 if EXAMPLE_HARDWARE_QTPYS3
default 19 if EXAMPLE_HARDWARE_CUSTOM
help
GPIO number for I2C Master clock line.
config EXAMPLE_I2C_SDA_GPIO
int "SDA GPIO Num"
range 0 50
default 22 if EXAMPLE_HARDWARE_QTPYPICO
default 41 if EXAMPLE_HARDWARE_QTPYS3
default 22 if EXAMPLE_HARDWARE_CUSTOM
help
GPIO number for I2C Master data line.
config EXAMPLE_I2C_CLOCK_SPEED_HZ
int "I2C Clock Speed"
range 100 1000000
default 400000
help
I2C clock speed in Hz.
endmenu

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#include <chrono>
#include <cmath>
#include <vector>
#include "i2c.hpp"
#include "kalman_filter.hpp"
#include "logger.hpp"
#include "lsm6dso.hpp"
#include "madgwick_filter.hpp"
using namespace std::chrono_literals;
extern "C" void app_main(void) {
espp::Logger logger({.tag = "LSM6DSO Example", .level = espp::Logger::Verbosity::INFO});
logger.info("Starting LSM6DSO example!");
//! [lsm6dso example]
using Imu = espp::Lsm6dso<espp::lsm6dso::Interface::I2C>;
// I2C config (customize as needed)
static constexpr auto i2c_port = I2C_NUM_0;
static constexpr auto i2c_clock_speed = CONFIG_EXAMPLE_I2C_CLOCK_SPEED_HZ; // Set in sdkconfig
static constexpr gpio_num_t i2c_sda = (gpio_num_t)CONFIG_EXAMPLE_I2C_SDA_GPIO; // Set in sdkconfig
static constexpr gpio_num_t i2c_scl = (gpio_num_t)CONFIG_EXAMPLE_I2C_SCL_GPIO; // Set in sdkconfig
espp::I2c i2c({.port = i2c_port,
.sda_io_num = i2c_sda,
.scl_io_num = i2c_scl,
.sda_pullup_en = GPIO_PULLUP_ENABLE,
.scl_pullup_en = GPIO_PULLUP_ENABLE,
.clk_speed = i2c_clock_speed});
// make the orientation filter to compute orientation from accel + gyro
static constexpr float angle_noise = 0.001f;
static constexpr float rate_noise = 0.1f;
static espp::KalmanFilter<2> kf;
kf.set_process_noise(rate_noise);
kf.set_measurement_noise(angle_noise);
auto kalman_filter_fn = [](float dt, const Imu::Value &accel,
const Imu::Value &gyro) -> Imu::Value {
// Apply Kalman filter
float accelRoll = atan2(accel.y, accel.z);
float accelPitch = atan2(-accel.x, sqrt(accel.y * accel.y + accel.z * accel.z));
kf.predict({espp::deg_to_rad(gyro.x), espp::deg_to_rad(gyro.y)}, dt);
kf.update({accelRoll, accelPitch});
float roll, pitch;
std::tie(roll, pitch) = kf.get_state();
// return the computed orientation
Imu::Value orientation{};
orientation.roll = roll;
orientation.pitch = pitch;
orientation.yaw = 0.0f;
return orientation;
};
// Madgwick filter for orientation
static constexpr float beta = 0.1f;
static espp::MadgwickFilter madgwick(beta);
auto madgwick_filter_fn = [](float dt, const Imu::Value &accel,
const Imu::Value &gyro) -> Imu::Value {
madgwick.update(dt, accel.x, accel.y, accel.z, espp::deg_to_rad(gyro.x),
espp::deg_to_rad(gyro.y), espp::deg_to_rad(gyro.z));
float roll, pitch, yaw;
madgwick.get_euler(roll, pitch, yaw);
Imu::Value orientation{};
orientation.roll = espp::deg_to_rad(roll);
orientation.pitch = espp::deg_to_rad(pitch);
orientation.yaw = espp::deg_to_rad(yaw);
return orientation;
};
// IMU config
Imu::Config config{
.device_address = Imu::DEFAULT_I2C_ADDRESS,
.write = std::bind(&espp::I2c::write, &i2c, std::placeholders::_1, std::placeholders::_2,
std::placeholders::_3),
.read = std::bind(&espp::I2c::read, &i2c, std::placeholders::_1, std::placeholders::_2,
std::placeholders::_3),
.imu_config =
{
.accel_range = Imu::AccelRange::RANGE_2G,
.accel_odr = Imu::AccelODR::ODR_416_HZ,
.gyro_range = Imu::GyroRange::DPS_2000,
.gyro_odr = Imu::GyroODR::ODR_416_HZ,
},
.orientation_filter = kalman_filter_fn,
.auto_init = true,
.log_level = espp::Logger::Verbosity::INFO,
};
logger.info("Creating LSM6DSO IMU");
Imu imu(config);
std::error_code ec;
// set the accel / gyro on-chip filters
static constexpr uint8_t accel_filter_bandwidth = 0b001; // ODR / 10
static constexpr uint8_t gyro_lpf_bandwidth = 0b001; // ODR / 3
static constexpr bool gyro_hpf_enabled = false; // disable high-pass filter on gyro
static constexpr auto gyro_hpf_bandwidth = Imu::GyroHPF::HPF_0_26_HZ; // 0.26Hz
if (!imu.set_accelerometer_filter(accel_filter_bandwidth, Imu::AccelFilter::LOWPASS, ec)) {
logger.error("Failed to set accelerometer filter: {}", ec.message());
}
// set the gyroscope filter to have lowpass
if (!imu.set_gyroscope_filter(gyro_lpf_bandwidth, gyro_hpf_enabled, gyro_hpf_bandwidth, ec)) {
logger.error("Failed to set gyroscope filter: {}", ec.message());
}
// make a task to read out the IMU data and print it to console
espp::Task imu_task({.callback = [&](std::mutex &m, std::condition_variable &cv) -> bool {
static auto start = std::chrono::steady_clock::now();
auto now = esp_timer_get_time(); // time in microseconds
static auto t0 = now;
auto t1 = now;
float dt = (t1 - t0) / 1'000'000.0f; // convert us to s
t0 = t1;
std::error_code ec;
// update the imu data
if (!imu.update(dt, ec)) {
return false;
}
// get accel
auto accel = imu.get_accelerometer();
auto gyro = imu.get_gyroscope();
auto temp = imu.get_temperature();
auto orientation = imu.get_orientation();
auto gravity_vector = imu.get_gravity_vector();
[[maybe_unused]] auto t2 = esp_timer_get_time(); // time in microseconds
auto madgwick_orientation = madgwick_filter_fn(dt, accel, gyro);
float roll = madgwick_orientation.roll;
float pitch = madgwick_orientation.pitch;
float yaw = madgwick_orientation.yaw;
float vx = sin(pitch);
float vy = -cos(pitch) * sin(roll);
float vz = -cos(pitch) * cos(roll);
// print time and raw IMU data
std::string text = "";
text += fmt::format("{:.3f},", now / 1'000'000.0f);
text += fmt::format("{:02.3f},{:02.3f},{:02.3f},", (float)accel.x,
(float)accel.y, (float)accel.z);
text += fmt::format("{:03.3f},{:03.3f},{:03.3f},", (float)gyro.x,
(float)gyro.y, (float)gyro.z);
text += fmt::format("{:02.1f},", temp);
// print kalman filter outputs
text += fmt::format("{:03.3f},{:03.3f},{:03.3f},", (float)orientation.x,
(float)orientation.y, (float)orientation.z);
text += fmt::format("{:03.3f},{:03.3f},{:03.3f},", (float)gravity_vector.x,
(float)gravity_vector.y, (float)gravity_vector.z);
// print madgwick filter outputs
text += fmt::format("{:03.3f},{:03.3f},{:03.3f},", roll, pitch, yaw);
text += fmt::format("{:03.3f},{:03.3f},{:03.3f}", vx, vy, vz);
fmt::print("{}\n", text);
// fmt::print("IMU update took {:.3f} ms\n", (t2 - t0) / 1000.0f);
// sleep first in case we don't get IMU data and need to exit early
{
std::unique_lock<std::mutex> lock(m);
cv.wait_until(lock, start + 10ms);
}
return false;
},
.task_config = {
.name = "IMU",
.stack_size_bytes = 6 * 1024,
.priority = 10,
.core_id = 0,
}});
// print the header for the IMU data (for plotting)
fmt::print("% Time (s), "
// raw IMU data (accel, gyro, temp)
"Accel X (m/s^2), Accel Y (m/s^2), Accel Z (m/s^2), "
"Gyro X (rad/s), Gyro Y (rad/s), Gyro Z (rad/s), "
"Temp (C), "
// kalman filter outputs
"Kalman Roll (rad), Kalman Pitch (rad), Kalman Yaw (rad), "
"Kalman Gravity X, Kalman Gravity Y, Kalman Gravity Z, "
// madgwick filter outputs
"Madgwick Roll (rad), Madgwick Pitch (rad), Madgwick Yaw (rad), "
"Madgwick Gravity X, Madgwick Gravity Y, Madgwick Gravity Z\n");
logger.info("Starting IMU task");
imu_task.start();
// loop forever
while (true) {
std::this_thread::sleep_for(1s);
}
//! [lsm6dso example]
}