The technique of genetic algorithms is proposed as a means of auto-tuning PID controllers. The technique involves firstly using on-line data and the genetic algorithm to identify a model of the process. Then the identified model, the genetic algorithm and simulation methods, are used to off-line tune the PID controller, so as to minimise a time-domain based cost function. Finally, the genetically tuned controller is implemented on-line on the real process. The results of the genetic auto-tuner are illustrated by auto-tuning a PID controller on a laboratory heat exchanger, and comparing the genetic auto-tuning technique with the Astrom-relay auto-tuning technique.


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    Title :

    Genetic auto-tuning of PID controllers


    Contributors:

    Publication date :

    1995-01-01


    Size :

    5 pages



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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