Split publishing of local position into horiz and vert components with separate validity checks
Split status reporting into separate update and get functions and only update once after each loop update. This removes unnecessary re-calculation of the status logic and ensures all consumers get the same data (avoid possible race conditions).
The new function can deal with a variable number of function parameters.
Additionally, I renamed the functions to norm(), because this is the
standard name used in several other projects.
The problem with using min() and max() is that they conflict with some
C++ headers. Name the macros in uppercase instead. We may go case by
case later converting them to be typesafe.
Changes generated with:
git ls-files '*.cpp' '*.h' -z | xargs -0 sed -i 's/\([^_[:alnum:]]\)max(/\1MAX(/g'
git ls-files '*.cpp' '*.h' -z | xargs -0 sed -i 's/\([^_[:alnum:]]\)min(/\1MIN(/g'
Ensures that the latest GPS data is used to reset the states.
Separates the logic used to set the origin from the logic used to determine when to reset states and commence GPS aiding
This removes errors in the in-flight reset of the earth field states by:
1) Using a state vector and magnetometer measurement from the same time coordinate
2) Not using the AHRS trim offsets in the calculation
dtIMUactual has been spit into a separate dtDelAng and dtDelVel and dtDelVel1 and dtDelVel2 delta time in recognition of the amount of timing jitter and different update rates for the IMU's
Vibration in the 400Hz delta angles could cause the angular rate condition check for in-flight magnetic field alignment to fail.
The symptons were failure to start magnetic field learning as expected when EK2_MAG_CAL=3 was set.
The calculation of a delta rotation between consecutive magnetometer samples has been introduced instead of the most recent IMU delta angle as this is less affected by noise and give an upper bound on the angular error.
the check has been moved into the magnetometer fusion control function so that any reset will be performed using fresh magnetometer data
Explicitly set Plane parameters rather than rely on use of the default
If no type defined, default to Copter parameters (most common platform type
Enable different platform types to use different initial accel bias uncertainty
Reduce initial accel bias uncertainty for copter to prevent initial oscillation in bias and height estimate
Large baro data errors when flying without GPS could cause total failure of the EKF.
This patch provides protection against this happening in-flight but allows for large innovations during preflight alignment.
Andrew Tridgell
priseborough
Mathieu OTHACEHE
Jonathan Challinger
Tom Pittenger
Ricardo de Almeida Gonzaga
dgrat
Lucas De Marchi
Peter Barker
Don Gagne
Luis Vale Gonçalves
Caio Marcelo de Oliveira Filho
Paul Riseborough
Julien BERAUD
Siddharth Bharat Purohit