dark0707
/
px4-firmware
forked from Archive/PX4-Autopilot
1
0
Fork 0
Code Pull Requests Activity
885 Commits 514 Branches 136 Tags 234 MiB
Commit Graph

46 Commits

Author SHA1 Message Date
CarlOlsson 0a7c3ecbc6 EKF: Parameterize maximum angle for rng fusion 2017-09-26 20:53:48 +02:00
Paul Riseborough e08da1c599 EKF: Add ability to use EV and GPS data together 
Fuse external vision data using a relative position odometry method when GPS data is also being used and enable both GPOS and EV data to be fused on the same time step.
 2017-07-26 18:06:18 +10:00
Roman a0ab5cf0d7 ekf vel_pos_fusion: added height sensor offset to range innovation calculation 
Signed-off-by: Roman <bapstroman@gmail.com>
 2017-06-15 09:10:43 +02:00
Paul Riseborough 3dadc98b43 EKF: enable scaling of range observation variance with height 2017-02-22 14:12:05 +01:00
Paul Riseborough cf9c8de167 EKF: Add arbitrary pitch offset for range sensor 2017-02-22 14:12:05 +01:00
Beat Küng 25cb400da9 EKF: remove Ekf::KHP and move KHP to the methods where it's used 
Everywhere where KHP is used, it is first completely reset, thus making
it unnecessary to keep it as a class member.

This saves 2.3KB RAM.

Stack sizes don't need changing, since there is already a function
Ekf::predictCovariance(), which needs around 3KB of stack and is called
close to where the fuse* functions are called.
 2016-11-01 22:49:20 +01:00
Paul Riseborough 65da9173b9 EKF: capture innovation checks and reset events in separate variables 
rename the innovation check status class variable and remove the reset flags from it.
 2016-06-01 17:13:00 +10:00
Paul Riseborough 52f6eea52b EKF: capture position and velocity innovation test failures 2016-06-01 17:13:00 +10:00
Paul Riseborough 1b6c5bbafd EKF: Enable height source to be selected independent of EV aiding 2016-05-27 13:14:52 +10:00
Paul Riseborough 00bada8f25 EKF: Clean up logic for horizontal position fusion 
Remove reference to optical flow fusion mode
Simplify logic flow for selection of observation noise
Remove unnecessary conditional statement
 2016-05-27 11:29:10 +10:00
Paul Riseborough 6f412a73b4 EKF: Use correct height gate when using external vision 2016-05-27 11:24:53 +10:00
Carl Olsson 0fafc49a49 fixed typos (#147) 2016-05-22 17:40:43 +02:00
Paul Riseborough e272d5f003 EKF: Use consistent position noise values during alignment 2016-05-18 20:11:08 +10:00
Paul Riseborough 349c731375 EKF: remove PX4 dependant text output 2016-05-14 21:17:29 +10:00
Paul Riseborough ac9b7a3df6 EKF: Ensure use of EV aiding inhibits use of other height sources 2016-05-14 21:17:29 +10:00
devbharat d3bad9fdb0 Correct height fusion flag when using sensor other than baro 2016-05-14 21:17:29 +10:00
Paul Riseborough 25f1d1d766 EKF: Add fusion of external vision 3D pos data 2016-05-14 21:17:29 +10:00
Paul Riseborough feb4db6347 EKF: protect against large IMU errors during initial tilt alignment 
Turn off innovation consistency checks for height and synthetic position measurements until the tilt as aligned
 2016-05-08 17:54:45 +10:00
Paul Riseborough 00973d6215 EKF: fix pos/vel fusion innovation variance bug 2016-05-08 17:51:47 +10:00
Paul Riseborough 020b87933e EKF: replace fault status struct with a union to facilitate logging 2016-05-07 21:11:16 +10:00
Paul Riseborough 7f5669fb2d EKF: consolidate covariance corrections 
Combines the forced symmetry, variance limiting and zeroing of covariances for unwanted states in the one function.
This ensures a consistent correction is applied after every covariance prediction or correction.
 2016-05-07 20:29:50 +10:00
Paul Riseborough 310bd97080 EKF: Improve protection against bad pos vel fusion 2016-05-07 14:22:59 +10:00
Paul Riseborough 727a43764f EKF: update initial angle alignment check 2016-05-05 21:23:03 +10:00
Paul Riseborough 82da832816 EKF: tidy up Kalman gain calculations 
Inhibiting of states is controlled via zeroing rows and columns in the covariance prediction so conditional logic in gain calculations is unnecessary.
 2016-05-05 21:23:03 +10:00
Paul Riseborough fe9f88a8b4 EKF: test new derivation 
Use direct attitude parameterisation
Discard scale factors
Add accel bias
 2016-05-05 21:23:03 +10:00
Daniel Agar 22d18d638c enable Wshadow 2016-05-04 19:45:40 -04:00
Paul Riseborough 5bf02517a7 EKF: Rationalise use of rotation matrices and improve efficiency 2016-04-12 11:14:31 +10:00
Paul Riseborough 064a0e4dbc EKF: Don't use GPS to set position noise when not using GPS 2016-03-16 20:12:36 +11:00
Paul Riseborough 6b2e2dba90 EKF: Add GPS height option and improve height recovery 2016-03-16 10:40:51 +11:00
Paul Riseborough c58ab3e256 EKF: Enable fallback to baro alt when using range finder for height 2016-03-13 21:17:51 +11:00
Paul Riseborough 2ff338048d EKF: Add support for range-finder fusion as primary height reference 2016-03-11 11:03:43 +11:00
Paul Riseborough 569886a4fc EKF: Fix bug in velocity and position innovation consistency checks 2016-03-03 17:15:22 +11:00
Paul Riseborough a30830a7a9 EKF: Scale position observation noise with GPS quality 
This allows the filter to adapt to variations in GPs quality.
The range of adjustment in observation noise is limited to the range between a lower limit set by the GPS observation noise parameter and an upper limit set by the no-aiding observation noise.
 2016-02-25 10:16:32 +11:00
Paul Riseborough f55a0bff53 EKF: Fix code style 2016-02-25 08:17:50 +11:00
Paul Riseborough 1d40507af8 EKF: Set Kaman gains to zero for un-used states 
This is a defensive programming technique. In theory this should not be necessary if the corresponding covariance entries are zero.
 2016-02-16 11:08:30 +11:00
CarlOlsson 1e766c7510 moved fuse function to ekf_helper.cpp 2016-02-12 15:54:32 +01:00
Paul Riseborough 40e174b81c EKF: Correct for sensor noise and baro offset during alignment 2016-02-10 10:25:27 +11:00
Paul Riseborough 9bfc11b660 EKF: Use specific position observation noise when flying without GPS 
A larger position uncertainty is required when flying without GPS to reduce tilt attitude estimation errors caused by vehicle manoeuvring. This needs to be tuneable to allow optimisation for different use cases (e.g. outdoor vs indoor).
 2016-02-03 18:40:32 +11:00
Paul Riseborough 7de1d39ce4 EKF: Improve use of position and velocity observation noise parameters 
Fix bug where noise parameters were not being squared when calculating the observation variance.
Use GPS reported speed accuracy to set velocity observation noise and use the parameter to set the minimum.
 2016-02-03 18:15:38 +11:00
Paul Riseborough 2b1e8fe910 EKF: Update tuning parameters 
Set conservative defaults as a baseline for tuning
Add a missing parameter for magnetometer observation noise.
Correct error in definition of magnetic heading observations noise (previous parameter defined the variance directly, not the noise).
Scale vertical GPS noise to allow for average EPV to EPH ratio.
Update documentation and display names for consistency.
 2016-02-03 17:05:45 +11:00
Paul Riseborough f1b82057c0 EKF: Combine GPS velocity innovation gate parameters 
Separate vertical and horizontal parameters for GPS velocity innovation gates are not required
 2016-01-30 12:21:50 -08:00
Paul Riseborough 46b0e9654c Add filter control logic 2016-01-30 09:01:48 +11:00
Paul Riseborough 9236f11c80 EKF: Add position and velocity innovation consistency checks 2016-01-28 16:33:54 +11:00
Roman 8d0022ab1e enable estimator state and innovations data logging 2016-01-22 11:31:14 +01:00
Roman f8354bb5e9 - do not fake vertical gps measurement as we have baro 
- formatting

Conflicts:
	EKF/ekf.cpp
 2016-01-08 06:59:10 +01:00
Roman 8de8b0eb76 prediction and vel pos heading fusion working 2015-12-09 17:47:52 +01:00