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.
|Number of pages
|Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
|Published - 2010