The paper describes an active magnetic bearing (AMB) system used in a high-speed energy storage flywheel. The conventional PID structure is used for the decentralised control of two radial magnetic bearings, and the control parameters are on-line tuned using a genetic algorithm (GA). The control and tuning are implemented on a digital signal processor, and the results of the optimisation are presented. The genetic algorithm has been used as a design tool for generating optimal active magnetic bearing controllers for a high speed flywheel energy storage system for use in electric vehicles. The optimization is performed directly on the AMB rig through a digital signal processor and an associated software interface with MATLAB/SIMULINK, and a comprehensive measure of AMB performance such as singular value of rotor response, is used as the objective for the optimization. In this way, a number of satisfactory controllers are generated which can be directly used for real-time applications. The improvement of control performance against the manually tuned controllers is clearly shown by experiments on a prototype DSP-controlled flywheel magnetic bearing system.


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    Titel :

    On-line GA auto-tuning of magnetic bearing controllers for a flywheel energy storage system


    Beteiligte:
    Wu, Z.Y. (Autor:in) / Howe, D. (Autor:in) / Mellor, P.H. (Autor:in) / Schroeder, P. (Autor:in)


    Erscheinungsdatum :

    1999


    Format / Umfang :

    4 Seiten, 10 Bilder, 6 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Auto Tuning of PID Controllers

    Y. You / H. Gong | NTIS | 1993


    Neural Network Controller Design for a Magnetic Bearing Flywheel Energy Storage System

    Anand, Davinder K. / Fittro, Roger L. | SAE Technical Papers | 1992


    Genetic auto-tuning of PID controllers

    Jones, A.H. / De Moura Oliveira, P.B. | IET Digital Library Archive | 1995



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