Four algorithms are described to search and find spatial configuration for the placement of a finite number of actuators and sensors on a continuous flexible structure to reduce deformations in the structures to a minimum in Hinfinity sense. The computational cost of the optimal mapping search is reduced through four techniques: 1) the computationally expensive goal function based on the complete Hinfinity design is replaced by a two-step hybrid function, which performs a computationally inexpensive pass-fail test and proceeds to the complete Hinfinity design only if the test was passed; 2) a target Hinfinity norm used in the mentioned pass-fail test is adjusted based on the already evaluated mappings in order to increase the number of failed tests and reduce the number of complete Hinfinity designs; 3) the exhaustive search as the basic search technique is replaced by a more intelligent genetic algorithm; and 4) the search is implemented on a parallel computer. The algorithms are benchmarked for two test cases: a model of a simply supported beam, and a model of the UCLA large space structure.


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    Title :

    Intelligent algorithms for Hinfinity -optimal placement of actuators and sensors in structural control


    Contributors:

    Published in:

    Publication date :

    1999


    Size :

    5 Seiten, 12 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English