Sliding mode controller design based on fuzzy inference for nonlinear systems (power systems)
- 1 February 1993
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industrial Electronics
- Vol. 40 (1) , 64-70
- https://doi.org/10.1109/41.184822
Abstract
Sliding-mode control can deal with nonlinearities of control systems and is robust. However, it has drawbacks, such as high control gain effect and control chattering. A method of nonlinear feedback control that introduces fuzzy interference into sliding-mode control, to treat nonlinearities and reduce chattering is proposed. The stability of the system is discussed using fuzzy stability theory based on Lyapunov's direct method. The method is applied numerically to the stabilizing control of an electric power system, and is shown to give good results.<>Keywords
This publication has 6 references indexed in Scilit:
- Fuzzy modelling and control of multilayer incineratorFuzzy Sets and Systems, 1986
- Fuzzy identification of systems and its applications to modeling and controlIEEE Transactions on Systems, Man, and Cybernetics, 1985
- Sliding controller design for non-linear systemsInternational Journal of Control, 1984
- Variable structure model reference adaptive control systemsInternational Journal of Control, 1984
- Application of Sliding Modes to Induction Motor ControlIEEE Transactions on Industry Applications, 1981
- Variable structure systems with sliding modesIEEE Transactions on Automatic Control, 1977