Genetic-based fuzzy clustering for DC-motor friction identification and compensation

Antonios Tzes, Pei Yuan Peng, John Guthy

    Research output: Contribution to journalArticle

    Abstract

    A fuzzy-logic-based model describing the friction present in a dc-motor system is derived in this paper. Based on fuzzy clustering techniques, the structure, as well as the premise and consequence parameters are inferred in an off-line manner. The fine-tuning of these parameters is accomplished through a genetic algorithm which minimizes a system modeling relevant functional. This genetic algorithm encodes these parameters as chromosomes, and creates the next generation of fuzzy models through natural selection and survival of the fittest chromosome. This model is used as a feedforward term for tracking purposes of the dc-motor's angular velocity. The proposed feedforward compensation scheme, coupled to a classical feedback controller improves the system's response in typical dc-motor micromaneuvers. Experimental results are offered to validate the performance of the proposed friction's fuzzy model and the control technique.

    Original languageEnglish (US)
    Pages (from-to)462-472
    Number of pages11
    JournalIEEE Transactions on Control Systems Technology
    Volume6
    Issue number4
    DOIs
    StatePublished - Dec 1 1998

    Fingerprint

    DC motors
    Fuzzy clustering
    Identification (control systems)
    Friction
    Chromosomes
    Genetic algorithms
    Angular velocity
    Fuzzy logic
    Tuning
    Feedback
    Controllers
    Compensation and Redress

    Keywords

    • Fuzzy logic
    • Genetic algorithms
    • Mechanical factors
    • Motor drives
    • Variable structure systems

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Electrical and Electronic Engineering

    Cite this

    Genetic-based fuzzy clustering for DC-motor friction identification and compensation. / Tzes, Antonios; Peng, Pei Yuan; Guthy, John.

    In: IEEE Transactions on Control Systems Technology, Vol. 6, No. 4, 01.12.1998, p. 462-472.

    Research output: Contribution to journalArticle

    Tzes, Antonios ; Peng, Pei Yuan ; Guthy, John. / Genetic-based fuzzy clustering for DC-motor friction identification and compensation. In: IEEE Transactions on Control Systems Technology. 1998 ; Vol. 6, No. 4. pp. 462-472.
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