New methodology for analytical and optimal design of fuzzy PID controllers

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	New methodology for analytical and optimal design of fuzzy PID controllers
	Hu, B; Mann, GKI ; Gosine, RG
发表期刊	IEEE TRANSACTIONS ON FUZZY SYSTEMS
	1999-10-01
卷号	7 期号:5 页码:521-539
文章类型	Article
摘要	This paper describes a new methodology for the systematic design of fuzzy PID controllers based on theoretical fuzzy analysis and genetic-based optimization. An important feature of the proposed controller is its simple structure. It uses a one-input fuzzy inference with three rules and at most six tuning parameters. A closed-form solution for the control action is defined in terms of the nonlinear tuning parameters. The nonlinear proportional gain is explicitly derived in the error domain, A conservative design strategy is proposed for realizing a guaranteed-PID-performance (GPP) fuzzy controller. This strategy suggests that a fuzzy PID controller should be able to produce a linear function from its nonlinearity tuning of the system, The proposed PID system is able to produce a close approximation of a linear function for approximating the GPP system. This GPP system, incorporating with a genetic solver for the optimization, will provide the performance no worse than the corresponding linear controller with respect to the specific performance criteria (i.e., response error, stability, or robustness). Two indexes, linearity approximation index (LAT) and nonlinearity variation index (NVI), are suggested for evaluating the nonlinear design of fuzzy controllers. The proposed control system has been applied to several first-order, second-order, and fifth-order processes. Simulation results show that the proposed fuzzy PID controller produces superior control performance than the conventional PID controllers, particularly in handling nonlinearities due to time delay and saturation.
关键词	Fuzzy Logic Control Genetic Algorithms Nonlinear Control Optimal Control Pid Control
WOS标题词	Science & Technology ; Technology
关键词[WOS]	LOGIC-CONTROLLER ; CONTROL-SYSTEMS ; GENETIC ALGORITHMS ; STABILITY ANALYSIS ; CONTROL RULES ; SPECIFICATIONS ; PHASE
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000083404300004
引用统计	被引频次：162[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9782
专题	09年以前成果
作者单位	1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China 2.Mem Univ Newfoundland, Ctr Cold Ocean Resources Engn, St Johns, NF A1B 3X5, Canada 3.Mem Univ Newfoundland, Fac Engn & Appl Sci, St Johns, NF A1B 3X5, Canada
推荐引用方式 GB/T 7714	Hu, B,Mann, GKI,Gosine, RG. New methodology for analytical and optimal design of fuzzy PID controllers[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS,1999,7(5):521-539.
APA	Hu, B,Mann, GKI,&Gosine, RG.(1999).New methodology for analytical and optimal design of fuzzy PID controllers.IEEE TRANSACTIONS ON FUZZY SYSTEMS,7(5),521-539.
MLA	Hu, B,et al."New methodology for analytical and optimal design of fuzzy PID controllers".IEEE TRANSACTIONS ON FUZZY SYSTEMS 7.5(1999):521-539.

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