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Continuous gyro bias estimation (#17)
Estimate gyro bias continuously instead of calibrating the gyro at startup.
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@ -16,7 +16,6 @@ Do the following:
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* **Make sure correct IMU model is chosen**. If using ICM-20948 board, change `MPU9250` to `ICM20948` everywhere in the `imu.ino` file.
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* **Check if the CLI is working**. Perform `help` command in Serial Monitor. You should see the list of available commands. You can also access the CLI using QGroundControl (*Vehicle Setup* ⇒ *Analyze Tools* ⇒ *MAVLink Console*).
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* **Configure QGroundControl correctly before connecting to the drone** if you use it to control the drone. Go to the settings and enable *Virtual Joystick*. *Auto-Center Throttle* setting **should be disabled**.
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* **Make sure you're not moving the drone several seconds after the power on**. The drone calibrates its gyroscope on the start so it should stay still for a while.
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* **Check the IMU is working**. Perform `imu` command and check its output:
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* The `status` field should be `OK`.
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* The `rate` field should be about 1000 (Hz).
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@ -34,7 +34,6 @@ const char* motd =
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"mot - show motor output\n"
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"log - dump in-RAM log\n"
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"cr - calibrate RC\n"
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"cg - calibrate gyro\n"
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"ca - calibrate accel\n"
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"mfr, mfl, mrr, mrl - test motor (remove props)\n"
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"reset - reset drone's state\n"
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@ -124,8 +123,6 @@ void doCommand(String str, bool echo = false) {
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dumpLog();
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} else if (command == "cr") {
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calibrateRC();
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} else if (command == "cg") {
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calibrateGyro();
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} else if (command == "ca") {
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calibrateAccel();
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} else if (command == "mfr") {
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@ -29,7 +29,7 @@ void applyGyro() {
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void applyAcc() {
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// test should we apply accelerometer gravity correction
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float accNorm = acc.norm();
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bool landed = !motorsActive() && abs(accNorm - ONE_G) < ONE_G * 0.1f;
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landed = !motorsActive() && abs(accNorm - ONE_G) < ONE_G * 0.1f;
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if (!landed) return;
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@ -18,6 +18,7 @@ Vector gyro; // gyroscope data
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Vector acc; // accelerometer data, m/s/s
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Vector rates; // filtered angular rates, rad/s
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Quaternion attitude; // estimated attitude
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bool landed; // are we landed and stationary
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float motors[4]; // normalized motors thrust in range [-1..1]
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void setup() {
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24
flix/imu.ino
24
flix/imu.ino
@ -5,6 +5,7 @@
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#include <SPI.h>
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#include <MPU9250.h>
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#include "lpf.h"
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#include "util.h"
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MPU9250 IMU(SPI);
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@ -17,8 +18,6 @@ void setupIMU() {
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print("Setup IMU\n");
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IMU.begin();
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configureIMU();
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delay(500); // wait a bit before calibrating
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calibrateGyro();
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}
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void configureIMU() {
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@ -32,6 +31,7 @@ void readIMU() {
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IMU.waitForData();
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IMU.getGyro(gyro.x, gyro.y, gyro.z);
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IMU.getAccel(acc.x, acc.y, acc.z);
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calibrateGyroOnce();
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// apply scale and bias
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acc = (acc - accBias) / accScale;
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gyro = gyro - gyroBias;
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@ -47,21 +47,13 @@ void rotateIMU(Vector& data) {
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// Axes orientation for various boards: https://github.com/okalachev/flixperiph#imu-axes-orientation
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}
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void calibrateGyro() {
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const int samples = 1000;
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print("Calibrating gyro, stand still\n");
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IMU.setGyroRange(IMU.GYRO_RANGE_250DPS); // the most sensitive mode
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void calibrateGyroOnce() {
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static float landedTime = 0;
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landedTime = landed ? landedTime + dt : 0;
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if (landedTime < 2) return; // calibrate only if definitely stationary
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gyroBias = Vector(0, 0, 0);
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for (int i = 0; i < samples; i++) {
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IMU.waitForData();
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IMU.getGyro(gyro.x, gyro.y, gyro.z);
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gyroBias = gyroBias + gyro;
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}
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gyroBias = gyroBias / samples;
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printIMUCal();
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configureIMU();
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static LowPassFilter<Vector> gyroCalibrationFilter(0.001);
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gyroBias = gyroCalibrationFilter.update(gyro);
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}
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void calibrateAccel() {
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@ -48,9 +48,6 @@ Parameter parameters[] = {
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{"ACC_SCALE_X", &accScale.x},
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{"ACC_SCALE_Y", &accScale.y},
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{"ACC_SCALE_Z", &accScale.z},
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{"GYRO_BIAS_X", &gyroBias.x},
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{"GYRO_BIAS_Y", &gyroBias.y},
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{"GYRO_BIAS_Z", &gyroBias.z},
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// rc
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{"RC_NEUTRAL_0", &channelNeutral[0]},
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{"RC_NEUTRAL_1", &channelNeutral[1]},
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@ -21,6 +21,7 @@ Vector acc;
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Vector gyro;
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Vector rates;
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Quaternion attitude;
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bool landed;
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// declarations
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void step();
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