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Gentlenav altitude speed control

Preferred solution
moved to main page

Matrix pilot features
is a linearization of the non-linear, exact, trigonometric expressions in which the cosine is approximated as being equal to 1, and the sine is approximated by the magnitude of the rotation..... try and see if he can make the latest IMU algorithms work in their quads ... because the algorithm, in theory, may offer better orientation and positioning https://groups.google.com/group/uavdevboard/browse_frm/thread/51261f625298c83e#
 * http://www.diydrones.com/profiles/blogs/sustained-rotations-pushing Sustained rotations
 * "Dead-reckoning" algorithm that provides high-bandwidth estimates of location and velocity.
 * Improved accuracy during sustained high rate turning
 * http://gentlenav.googlecode.com/files/WindEstimation.pdf
 * http://gentlenav.googlecode.com
 * https://groups.google.com/group/uavdevboard/browse_frm/thread/81935f5433df5b78 Quaternion-DCM hybrid discussion on DIYDrones ....The other method
 * Self-aligning magnetometer . Allows one to mount the magnetometer in the wing tip away from magnetic noise in the center of the frame. See the forum discussion on diydrones from this link Gentlenav
 * Matt C's recent work on improving MP for his 5 meter wingspan glider is going well . Matt has a full channel mixing system, new air speed control features, and bi-directional MAVLink PID tuning and calibration features  (as well as the audio variometer previously mentioned). Most of his code is now in trunk. The APM team, and in particular Tridge, has been working with Bill to

Ardu pilot has not yet implemented these features and neither it seems openpilot. Gyro saturation occurs during rotations, which Gentlenav solved.

Andrew Tridgell
https://github.com/tridge/MAVProxy/tree/master/modules

http://diydrones.com/forum/topics/an-improved-method-for-accounting-for-acceleration-in-gyro-roll
 * https://groups.google.com/group/uavdevboard/browse_frm/thread/8f56b199d1aa151f Switch between different algorithms dealing with magnetic interference.
 * https://groups.google.com/group/uavdevboard/browse_frm/thread/c6d2686366eeb5b9

Attitude problems
https://groups.google.com/group/uavdevboard/browse_frm/thread/8c5ab3866be17824

Sections

 * Dead reckoning
 * Gyro drift
 * Serial
 * Uav landing
 * Acceleration compensation quads
 * Control gain units
 * Gentlenav code branches

Construction details
https://groups.google.com/group/uavdevboard/browse_frm/thread/e54d345da5149017# Configuring hardware, udb imu, servo's etc.

Quad test frame
http://groups.google.com/group/uavdevboard/browse_frm/thread/8fdbccd17b9f2a5d Test frame used for quads

Dead reckoning

 * http://www.diydrones.com/profiles/blogs/a-simple-deadreckoning
 * http://groups.google.com/group/uavdevboard/browse_frm/thread/60086c3843ef8de

There are two "hard" problems still on my list of things to solve. One of them is relevant to your question. The two problems are:

1. Measuring accelerometer offsets and calibration in flight. 2. Performing centrifugal compensation without assuming angle of attack and side-slip. (Somewhat useful for fixed wing, very useful for quads.)

I have the theory for the solutions to both problems. Now I just have to implement.

The first problem is the major contributor to error in dead-reckoning. (You are correct, noise is not the major problem any more, because of our high sampling rate.) Solving it would provide improved performance across the board, including more accurate dead-reckoning.

option.h file
https://groups.google.com/group/uavdevboard/browse_frm/thread/a1459b978cca12f8 Raven 3d plane in strong winds
 * https://groups.google.com/group/uavdevboard/browse_frm/thread/267be56dd1dbb2c6 Twinstar calibration setup PID values etc.

Logo flight plans
https://groups.google.com/group/uavdevboard/browse_frm/thread/40435c933c47ff55
 * https://groups.google.com/group/uavdevboard/browse_frm/thread/40435c933c47ff55 gliding airspeed using spoilers crashmatt

Fixed wing, Matrix pilot best solution
http://groups.google.com/group/uavdevboard/browse_frm/thread/27b434d9940e0d40


 * Major IMU improvements, including "dizzy-proofing", automatic inflight gyro calibration, and compensation for magnetometer latency.
 * - Live camera tracking of one UDB from another.
 * - User-configurable OSD layouts.
 * - Full support for the DIYDrones MediaTek GPS.
 * - Maintain minimum ground speed. The speed control loop is now based on the smaller of ground speed and air speed.
 * - Improvements to inverted stabilization.
 * - Improvements to the Flight Analyzer tool.
 * - More bug fixes.
 * Antenna tracking of plane is done from ground using UDB with magnetometer.

DCM algorithm
https://groups.google.com/group/uavdevboard/browse_frm/thread/81935f5433df5b78

http://www.diydrones.com/group/arducopter-evolution-team/forum/topics/suggestion-for-arducopter-v2-6

Sustained rotations
http://diydrones.com/profiles/blogs/sustained-rotations-pushing?id=705844%3ABlogPost%3A429539&page=2#comments

Anyway, version 949 of MatrixPilot in the code repository contains the improvements that have been made to compensate for the errors that arise during sustained high rate rotations. With it, you can spin around any axis at 500 degrees/second for as long as you like.

http://frankhermes.com/

http://www.rocketelectronics.com/

Mavlink
http://groups.google.com/group/uavdevboard/browse_thread/thread/53e1b94e6a3f6ce0/0928616bd915a43c?lnk=gst&q=mavlink#0928616bd915a43c

Temperature effects
http://groups.google.com/group/uavdevboard/browse_frm/thread/7db4ac62f410787d

Calibration

 * http://groups.google.com/group/uavdevboard/browse_frm/thread/76a17e323375294d  Wind compensation
 * http://groups.google.com/group/uavdevboard/browse_frm/thread/48da77786706c41e Elevon calibration

Channel reversing

 * http://groups.google.com/group/uavdevboard/browse_frm/thread/e7d2c2f9ecd2a111 Swap Aileron and Elevator
 * http://groups.google.com/group/uavdevboard/browse_frm/thread/a430392169762a7e Peter Hollands discusses issue further

Losing GPS lock
http://groups.google.com/group/uavdevboard/browse_frm/thread/60086c3843ef8de

In clear weather devoid of fog, IR sensing Paparazzi uavav]] provides wing leveling control. When flying in clouds or fog and over mountains the IR control fails. Gentlenav IMU works in any weather, over any terrain. Combine Paparazzi_uav and Gentlenav in a UAV, using Gentlenav as the primary means of control and correlate it with IR on losing GPS lock.

Board orientation
http://groups.google.com/group/uavdevboard/browse_frm/thread/917bb38696d7b5b6 GPS orientation and installation of boards

Asymmetric elevator response
http://groups.google.com/group/uavdevboard/browse_frm/thread/48da77786706c41e

confirm with ground testing with your settings that there is asymmetric response to roll. That is what is expected from ROLL_ELEV_MIX, to produce some up elevator during a turn. The only thing you need to figure out is what you want it set for.

In flight PID tuning, raise slew rate of controls
http://www.diydrones.com/profiles/blogs/in-flight-tunable-gain In flight PID tuning and http://www.diydrones.com/profiles/blogs/in-flight-tunable-gain?id=705844%3ABlogPost%3A180450&page=2#comments. Describes modding the servo for better IMU control, but that under manual control will be harder.

I have made some modifications to the MatrixPilot code to do tests on In flight tunable gain. If this is further refined, it will be possible to do tuning of P/D gains on roll, pitch and yaw axis while in flight. The idea is that the gains can be tuned with a spare button on your RC transmitter one after the other (separately) while you fly the plane in stabilized mode. The gain you want to tune is gradually increased until oscillation is seen at max desired airspeed and then reduced back somewhat to ensure stability on that axis with that gain. My code mods is a hack at the moment, but this is just to illustrate the concept

Ric - the servos I'm using on my Funjet http://www.diydrones.com/profiles/blogs/gt200kmh-funjet-the-fastest are those (0.068 at 60° / 6V). http://www.hobbyking.com/hobbyking/store/uh_listCategoriesAndProducts.asp?idCategory=84. They are well centering and generally well suited. Centering is a main must, because high speed and bad centering isn't worth a penny (not forgetting leverage accuracy and free play). Those servos are small and light enough (10.9g), not needing high voltage (HV 380 12V !?) and, not least, cheap.

Ric is correct, centering is important. Which reminds me, there is a mechanical technique that you can use to raise the effective slew rate of the controls. You can use leverage to reduce the required deflection at the servo. You use the holes in the servo arm that are far from the center, and the holes on the control surface arm that are close to the surface. This increases the effective control gain without bumping into the rate limit. Of course, if you use this technique, you must eliminate all "free play" in the mechanical linkage, and the manual control will not be easy. But the control stabilization will be better.

Matlab - I did some Matlab simulations for "John Mac" while we were trying to get heading hold working for his helicopter. We had a "damping" feedback gain turned too high, it was pushing a servo into rate limiting, I finally figured it out with some simulations. There are two nonlinear blocks in Matlab's simulink library that do a nice job of capturing the most important features of the deflection of a control surface that is driven by a servo: a "Saturation" block, followed by a "Rate Limiter" block. You set the saturation block to represent the limits of the deflection. You set the rate limiter block to represent the maximum slew rate. Once you have the deflection of the control surface, you can compute everything else from the model of the airplane dynamics.

Pilot links

 * Pilot links

Usenet post1
https://groups.google.com/group/uavdevboard/browse_frm/thread/cb766781b7bb757b

There are a series of technical discussions here relating to UDB and

Dealing with white noise
MatrixPilot. By using oversampling at 8000 samples per second, we are able to achieve 14 bit resolution for gyro and accelerometer signals. Regarding in-flight autocalibration of the gyros, you might want to read this posting 

Absolute accuracy camera aiming
With regard to absolute accuracy for camera aiming, the limiting effects are errors in the reference vectors used for drift compensation. Accuracy is rather good (sorry, but I cannot give you hard numbers on that, but probably within a couple of degrees) if the plane is flying straight and level at constant speed. But if it is turning a lot or changing speed, the error could be more than that, because of centrifugal effects. I am presently working on a method, described here http://diydrones.com/forum/topics/an-improved-method-for-accounting-for-acceleration-in-gyro-roll

to reduce the error due to acceleration. There are other things to consider in estimating the performance of camera aiming. I consider Peter Hollands to be the expert on that subject, perhaps he will comment. Best regards, Bill Premerlani

Electric motor calibration
https://groups.google.com/group/uavdevboard/browse_frm/thread/8fdbccd17b9f2a5d

In my work with VFD AC Motor Drives during the installation of a new motor we run the controller through an automated test that determines the varous response characteristics/dynamics of the motor to calibrate the Drive. Would it be unreasonable to bring the flying craft to a safe hover with some type of default PID settings then have the controler make micro bursts of throttle inputs to the various motors allowing the sensors on board to measure the torque and various rational offsets needed? This could make it easy for us to be able make adjustments for changing the dynamics of our crafts (changing battery size or type, adding or removing equipment/cameras or such, unballanced payloads) with out the painful experimentation of readjusting PID's. Is this something you see being able to incorporate in the future?

---

I have taken the first steps in the direction of what you are suggesting. I am able to measure the LaPlace transform of the tilt dynamics from the available data, without having to disturb the controls in any way. Attached is the result for my draganflier.

download https://groups.google.com/group/uavdevboard/attach/f1262cbb41e41da5/draganFlierTiltImpulseFunction.pdf?part=4

Loitering
https://groups.google.com/group/uavdevboard/browse_frm/thread/4a39758ad7783616

Rudder steering
https://groups.google.com/group/uavdevboard/browse_frm/thread/9dc86580cb9aaeed

Your issue could well be due to wind gain adjustment. Are you flying in windy conditions ? In this case I could bet that turning into the wind the plane turns too much. Why don't you use rudder navigation / stabilization, which for those planes is definitely better working than ailerons ? I mean combined with ailerons :) You use yaw stabilization with ailerons, wich could let some more problems (e.g. adverse yaw, so if the plane yaws left, the left aileron goes down to counteract and increase even more the drag on the left).
 * I would suggest as a starting point to disable wind gain adjustment. Then try to implement rudder, which in a high wing plane is really effective.

Solution in last post was to use only rudder steering, usisg teh ailerons for leveling the plane. Use the correct such as Inverted_v-tail

Cub landing
short landing with flaps cub peter hollands
 * http://diydrones.com/forum/topics/landing-on-a-forest-clearing-or-on-a-short-field-in-general
 * http://www.diydrones.com/profiles/blogs/openrelief-uses-apm-raspberry-pi-to-build-disaster-imaging-uav openrelief people detection

Stabilization channel bug
https://groups.google.com/group/uavdevboard/browse_frm/thread/7a6f38105cc523e7 solution at post 22

Flexifunctions
https://groups.google.com/group/uavdevboard/browse_frm/thread/40435c933c47ff55/18da45fc9c29c0f5#18da45fc9c29c0f5 flexifunctions

https://groups.google.com/group/uavdevboard/browse_frm/thread/dcdae50ce234576a#

https://groups.google.com/forum/?fr***roups#!topic/uavdevboard/3NrlDOI0V2o%5B1-25%5D

Links
http://diydrones.com/profiles/blogs/matlabsimulinkavl-simulator?id=705844%3ABlogPost%3A140105&page=9#comments  Matlab issues


 * Matrix Kalman
 * Ground robot
 * Data fusion
 * Python integration, Uav coning