NDLI: Design of quasi-optimal fuzzy controller by fuzzy dynamic programming

Content Provider	IEEE Xplore Digital Library
Author	Hojo, T. Terano, T. Masui, S.
Copyright Year	1993
Description	Author affiliation: Yamatake-Honeywell, Co. Ltd., Tokyo, Japan (Hojo, T.)
Abstract	A design method is described for new fuzzy feedback systems which contains the idea of optimal control. The fuzzy optimal control rules are selected when the state variables are apart from the goal, and are switched to ordinary fuzzy proportional-integral-derivative (PID) control rules automatically near the goal to solve the problem of stability and offset. For optimal control, the phase plane is digitized and the optimal output of the controller is obtained by applying fuzzy dynamic programming which has linguistically explained goals and constraints to each state of the phase plane. Quasi-optimal feedback control rules are obtained by describing the optimal output of the controller for each state as fuzzy rules whose inputs are state variables. The effectiveness of the system designed with this method was verified by simulations. It was found that the characteristics of the system were similar to that of fuzzy sliding mode control.<>
Starting Page	1253
Ending Page	1258
File Size	442347
Page Count	6
File Format	PDF
ISBN	0780306147
DOI	10.1109/FUZZY.1993.327572
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-03-28
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Optimal control Automatic control Design methodology Fuzzy systems Sliding mode control Feedback Three-term control Pi control Proportional control
Content Type	Text
Resource Type	Article

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