Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 1993.06a
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- Pages.845-848
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- 1993
Phase Compensation of Fuzzy Control Systems and Realization of Neuro-fuzzy Compenastors
- Tanaka, Kazuo (Department of Mechanical Systems Engineering Kanazawa University) ;
- Sano, Manabu (Department of Mechanical Systems Engineering Kanazawa University)
- Published : 1993.06.01
Abstract
This paper proposes a design method of fuzzy phase-lead compensator and its self-learning by neural network. The main feature of the fuzzy phase-lead compensator is to have parameters for effectively compensating phase characteristics of control systems. An important theorem which is related to phase-lead compensation is derived by introducing concept of frequency characteristics. We propose a design procedure of fuzzy phase-lead compensators for linear controlled objects. Furthermore, we realize a neuro-fuzzy compensator for unknown or nonlinear controlled objects by using Widrow-Hoff learning rule.
Keywords