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 language | English |
|---|---|
| Pages (from-to) | 717-733 |
| Number of pages | 17 |
| Journal | Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering |
| Volume | 224 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2010 |