A design method of multivariable adaptive digital tracking PID controllers using genetic algorithms (GA) is presented. The method is applied to the attitude control and momentum management (ACMM) system for a space station. The aim of the control was to design a tracking orientation control for the space station. The controller comprises two parts: (i) a fast on-line recursive identifier using the least squares method with variable forgetting factors to provide the updated dynamic parameters of the plant; and (ii) a genetic tuner based on artificial genetic algorithms to tune on-line the parameter matrices of the controller. The application of the controller using GA to the ACMM system for the space station yields remarkable results in stability robustness and setpoint tracking behaviour with respect to the large moments of inertia variations. Computer simulations show the good performance of the new method.


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    Title :

    Multivariable adaptive control for a space station using genetic algorithms


    Additional title:

    Adaptive Mehrgrößenregelung einer Raumfahrtstation mit Hilfe von genetischen Algorithmen


    Contributors:
    Zuo, W. (author)


    Publication date :

    1995


    Size :

    7 Seiten, 3 Bilder, 17 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





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