期刊
INFORMATION SCIENCES
卷 565, 期 -, 页码 77-90出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2021.02.062
关键词
Takagi-Sugeno fuzzy system; Sliding mode control; Control input matrix; Membership function
资金
- National Natural Science Foundation of China [61803114, 61803127, 61833011]
- Natural Science Foundation in Heilongjiang Province, China [YQ2019F012]
- Postdoctoral Science Foundation of China [2019M661463]
- Fundamental Research Foundation for Universities of Heilongjiang Province, China [2019-KYYWF-0210]
This paper investigates an integral sliding mode control method for uncertain Takagi-Sugeno fuzzy systems, proposing a dimensional-varying controller considering the time-varying property of the fuzzy system control matrix. Through a membership function piecewise linearization technique, the gain matrices of equivalent control law are derived, and a dimension switching sliding mode control scheme is designed to close the control loop.
An integral sliding mode control method for uncertain Takagi-Sugeno fuzzy systems is investigated in this paper. Considering the time-varying property of the fuzzy system control matrix, a dimensional-varying integral sliding mode controller is proposed. With a membership function piecewise linearization technique, the gain matrices of equivalent control law are derived. Then a dimension switching sliding model control scheme is designed to close the control loop. As a result, traditional restrictions on input matrix can be further relaxed. Finally, a numerical and a Diesel Engine Air-Path control examples are provided to certificate the merits and effectiveness of the proposed approach. (c) 2021 Elsevier Inc. All rights reserved.
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