The extension of a genetic algorithm to reconfigure (adapt) the feedforward controller and the model of the model following control system of a contemporary fly-by-wire aircraft was presented. The algorithm has successfully adapted the feedforward controller of DLR's in-flight simulator ATTAS (Advanced Technologies Testing Aircraft System) after a 50 % elevator effectiveness reduction. New strategies, like the division of the population of the genetic algorithm into subpopulations with different characteristics, have significantly improved the efficiency of the algorithm. Right now the algorithm is prepared for a parallel occam-implementation on the onboard transputer network and a flight test two months later. This concurrent implementation will overcome the relatively slow performance of the plain genetic algorithm and make it a robust and fast reconfiguration tool.


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    Title :

    Genetic algorithms for reconfiguration


    Additional title:

    Evolutionsstrategie zur Rekonfiguration eines Flugreglers


    Contributors:
    Buchholz, J.J. (author) / Heine, W. (author) / Baumgarten, G. (author)


    Publication date :

    1996


    Size :

    8 Seiten, 10 Bilder, 1 Tabelle, 14 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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