- sensors/vehicle_imu: reset learned cal on any calibration change
during parameter update
- sensors/vehicle_imu: cleanup logic estimated bias -> calibration offset
saving
- don't invalidate saved calibration (the point is to keep the last valid)
- remove old debug code, etc
- sensors/vehicle_imu: notify parameter changes if accel or gyro
calibration has changed
- lib/sensor_calibration: add calibrated() and calibration_index()
getters, keep Accelerometer/Gyroscope/Magnetometer in sync
- non-trivial perf counters (elapsed & interval) are relatively expensive
- if ESC and FFT notch filtering are enabled this reduces 6 updates (2 per axis) to 1
- avoid unnecessary filter reset on parameter update
- additional minor optimizations (precomputing dt inverse, etc)
- moving filter reset check and dynamic notch filter update checks out of the update loops
- this were necessary previously when the scale factor wasn't applied prior to filtering the otherwise raw data
- fix confusion between estimated bias and calibration offset when
saving after each flight
- when the stable bias estiamte is retrieved during flight it's
immediately converted to a sensor offset and saved
- fixes https://github.com/PX4/PX4-Autopilot/issues/18658
* ekf2: make publishing of learned accel biases more robust
* ekf2: reset accel bias if calibration updated
* msg: add separate accel and gyro calibration counters
* ekf2: use separate accel and gyro calibration counters
* ekf2: rework logic to reset biases when calibration counters increment
* sensors: add saving of learned accel biases
* ekf2: generalized saving accel/gyro/mag in flight sensor calibration
* boards: holybro kakutef7 disable systemcmds/perf and systemcmds/top to save flash
Co-authored-by: Paul Riseborough <gncsolns@gmail.com>
Having a 2nd order low-pass filter in the derivative loop reduces
stability at low cutoff values as too much phase is lost through
the filter. Using a 1st order filter avoids this issue because its
maximum phase loss is 90 degrees instead of 180 degrees for a 2nd order
lpf.
- initial frequency peak tracking SNR increased from 10->15 db
- after initial detection the threshold decreases to SNR 5db
- gyro_fft large method refactored into smaller pieces
- sensors/vehicle_angular_velocity: dynamic notch FFT make sample rate
check a percentage and relax lower bound safety threshold
- this avoids any jitter in the integration timespan from impacting the vibration metrics
- vehicle_imu_status vibration metrics are not consumed by anything
(yet), so changing the scaling of the metric shouldn't matter
Below 1.5 mm the tube pressure drow compensation will result in unrealistic compensation factors causing the measured airspeed to be too high.
In addition sensirion recommends a diameter of 1.8 mm or larger for the tubes.
Daniel Agar