1. Auburn Auto Tune Pid Controller Parts
2. Auber Pid Controller
3. Auberins Instruments
4. Auburn Auto Tune Pid Controller Formula

A self-tuning PID demonstration GPL software using genetic algorithm. Harmony engine download vst.

Demonstration video here : https://www.youtube.com/watch?v=cK6kWN9K_do

Introduction of the PID Tuner. PID Tuner provides a fast and widely applicable single-loop PID tuning method for the Simulink® PID Controller blocks. With this method, you can tune PID controller parameters to achieve a robust design with the desired response time.

Jan 13, 2015  You don't want to manually tune the PID gains of your motor controller anymore? Well, use genetic algorithms! To fully understand 'how does genetic algorithms work?' , I decided to build a small demonstrator/simulator of an auto-tuned PID controller using a genetic algorithm. Introduction Let's assume the following system: The output of this system is an. There are even tools in MATLAB that are able to tune your controller to optimize for a combination of these criteria, which makes it even better to use. Know your controller. Learning what each parameter in the PID controller does is quite helpful as well. All the experimental algorithms are based on this kind of knowledge somehow. Automatic Tuning of PID Controllers. The system can choose control method automatically from the expert database, and auto-tune parameters of controller according to the control requests.

Explanation here : https://kevinjoly25.wordpress.com/2015/01/13/pid-controller-auto-tuning-using-genetic-algorithm/

• Qt4

$ mkdir build
$ cd build
$ cmake .
$ make

No install method has been provided yet. However, you can run the software from the build directory:$ ./pid-autotune

There is 4 dock widgets in this software:

• Motor: enable the user to choose a motor to use and test it in closed on opened loop.
• Controller : enable the user to choose a controller to use with the motor (check 'Use controller'). The controller parameters can be set in this widget for test purpose.
• Graph settings : enable the user to change the axes scale by setting the min and max to be displayed.
• Genetic : enable the user to control the genetic algorithm parameters such as:
  • input : value of the input applied on the system.
  • min/max Kx : boundary values of each PID action.
  • Evaluation time : system running time when evaluating fitness.
  • Population size : size of the genetic algorithm's population.
  • Mutation ratio : probability to mutate the offspring's variable.
  • Crossover ratio : probability to crossover two parents.
  • Overshoot penalty : ratio which multiply the error when an overshoot occurs. If you don't want any overshoot, set this to the maximum.
  • Elite num : Number of best parents kept in the next generation of population.The start button launch the genetic process. Pause stop the process, press start to launch it again without any loss. Reset enable the user to generate a new random population by deleting the old one.

Auburn Auto Tune Pid Controller Parts

Example

Auber Pid Controller

• Under 'Motor' : choose the DummyMotor.
• Under 'Graph settings' : set xMax to 0.1 and yMax to 2.0.
• Under 'Genetic' : set maxKp to 1.0, maxKd to 2.0, maxKi to 0.1.
• Hit start button and enjoy the dance of a self-tuning PID! ;)

Auberins Instruments

More on GAs..

The fitness function is using the sum of squarred error to evaluate the generated PID.Thanks to this fitness function, tournament selection can be used in order to select parents of the next PID population.The genetic algorithm implemented in Genetic.cpp uses arithmetic crossover and gaussian mutation to generate the new population.Elitism can be used.

Auburn Auto Tune Pid Controller Formula

This software is using the GPL software QCustomPlot from Emanuel Eichhammer.