Automatic fuzzy membership function tuning using the particle swarm optimisation

Gu Fang, Ngai M. Kwok, Quang P. Ha, Yanduo Zhang, Honghua Tan, Qi Luo

    Research output: Chapter in Book / Conference PaperConference Paper

    Abstract

    ![CDATA[Fuzzy logic controllers (FLCs) are developed to exploit human expert knowledge in designing control systems. While the fuzzy rules are relatively easy to obtain, fuzzy membership function (MF) tuning could be a time consuming exercise. In this paper the particle swarm optimization technique is employed to automatically tune the MFs of a Mamdani-type of fuzzy controller. The effectiveness of the proposed controller is demonstrated by the control performance of such an FLC of a nonlinear water tank system. The results are compared favourably to a PSO tuned PID controller.]]
    Original languageEnglish
    Title of host publicationProceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application:PACIIA 2008, held in Wuhan, China, 19-20 December, 2008
    PublisherIEEE Computer Society
    Number of pages5
    ISBN (Print)9780769534909
    Publication statusPublished - 2008
    EventPacific-Asia Workshop on Computational Intelligence and Industrial Application -
    Duration: 1 Jan 2008 → …

    Conference

    ConferencePacific-Asia Workshop on Computational Intelligence and Industrial Application
    Period1/01/08 → …

    Keywords

    • fuzzy logic
    • nonlinear control theory
    • Particle Swarm Optimization (PS0)
    • control systems
    • water tank systems

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