제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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- Pages.244-249
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- 1998
Hybrid State Space Self-Tuning Fuzzy Controller with Dual-Rate Sampling
- Kwon, Oh-Kook (Dept. of Electrical Engineering, Yonsei University) ;
- Joo, Young-Hoon (Dept., of Control & Instrumentation Engineering, Kunsan University) ;
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Park, Jin-Bae
(Dept. of Electrical Engineering, Yonsei University) ;
- L. S. Shieh (Dept. of Electrical & Computer Engineering, University of Houston)
- 발행 : 1998.10.01
초록
In this paper, the hybrid state space self-tuning control technique Is studied within the framework of fuzzy systems and dual-rate sampling control theory. We show that fuzzy modeling techniques can be used to formulate chaotic dynamical systems. Then, we develop the hybrid state space self-tuning fuzzy control techniques with dual-rate sampling for digital control of chaotic systems. An equivalent fast-rate discrete-time state-space model of the continuous-time system is constructed by using fuzzy inference systems. To obtain the continuous-time optimal state feedback gains, the constructed discrete-time fuzzy system is converted into a continuous-time system. The developed optimal continuous-time control law is then convened into an equivalent slow-rate digital control law using the proposed digital redesign method. The proposed technique enables us to systematically and effective]y carry out framework for modeling and control of chaotic systems. The proposed method has been successfully applied for controlling the chaotic trajectories of Chua's circuit.
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