2004-09-29
Fuzzy sliding mode control for a singularly perturbed systems
Publication
Publication
Presented at the
NAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies (June 2004), Banff, Alta
Singular perturbation theory is found to be a good approach to obtain a reduced order model in large-scale systems which suffer from big dimension and ill conditions for its state matrix. This article presents the use of a single fuzzy sliding mode controller designed for the slow component of a singularly perturbed system. Choosing the sliding surface parameter for a sliding mode controller in this case is a challenging problem. A fuzzy logic algorithm is used to obtain a nonlinear sliding surface to obtain better-closed loop performance. The validity of the proposed approach is verified by example.
| Additional Metadata | |
|---|---|
| Fuzzy logic. ε, Singular perturbation, Sliding mode control | |
| NAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies | |
| Organisation | Department of Systems and Computer Engineering |
|
ElShabrawy, A. (Ayman), & Schwartz, H.M. (2004). Fuzzy sliding mode control for a singularly perturbed systems. In Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS (pp. 238–241).
|
|