The use of self-organizing fuzzy logic controllers (SOFLCs) in high-speed multivariable systems has been largely limited by the high number of rules generated, and by the application specific nature of the learning process. This paper concerns the development of a more generically applicable form of an SOFLC that uses a limited rule base of predetermined size, resulting in improved generalization properties and a reduction in the processing time. A simulation study on a four-valve water hydraulic actuator for a subsea robotic arm shows how this method can be applied to system modelling, and the resulting 48-rule fuzzy model then provides the necessary process model for training the SOFLC. Using this fuzzy model the SOFLC was able to tune a set of 12 rules to control the actuator and then to adapt these rules to compensate for a simulated leak of hydraulic fluid.


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    Title :

    Design of a reduced-rule self-organizing fuzzy logic controller for water hydraulic applications


    Contributors:
    Jones, E. (author) / Dobson, A. (author) / Roskilly, A.P. (author)


    Publication date :

    2000


    Size :

    11 Seiten, 9 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English






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