An extended fuzzy controller for vehicle active suspension systems

Jiangtao Cao, P. Li, Honghai Liu

    Research output: Contribution to journalArticlepeer-review

    Abstract

    An extended fuzzy logic controller (EFLC) based on interval fuzzy membership functions is proposed for a vehicle active suspension system. With the degree of uncertainty in fuzzy membership functions, interval fuzzy membership functions are self-generated to cover more general uncertainties which occur from understanding linguistic knowledge and fuzzy rules in typical fuzzy methods. A novel adaptive strategy is designed to self-tune the interval fuzzy inference and to deduce the crisp outputs with feedback structure. A simulation study on a half-vehicle active suspension system has demonstrated that the proposed EFLC outperforms a conventional fuzzy logic controller.
    Original languageEnglish
    Pages (from-to)717-733
    Number of pages17
    JournalProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
    Volume224
    Issue number6
    DOIs
    Publication statusPublished - 2010

    Fingerprint

    Dive into the research topics of 'An extended fuzzy controller for vehicle active suspension systems'. Together they form a unique fingerprint.

    Cite this