Two-level tuning of fuzzy PID controllers

被引:57
作者
Mann, GKI [1 ]
Hu, BG
Gosine, RG
机构
[1] Mem Univ Newfoundland, C CORE, St Johns, NF A1B 3X5, Canada
[2] Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
[3] Mem Univ Newfoundland, Dept Engn & Appl Sci, St Johns, NF A1B 3X5, Canada
来源
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2001年 / 31卷 / 02期
基金
加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
关键词
Approximation theory - Control nonlinearities - Control system synthesis - Feedback control - Fuzzy control - Fuzzy sets - Mathematical models - Parameter estimation;
D O I
10.1109/3477.915351
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Fuzzy PID tuning requires two stages of tuning; low level tuning followed by high level tuning. At the higher level, a nonlinear tuning is performed to determine the nonlinear characteristics of the fuzzy output. At the lower level, a linear tuning is performed to determine the linear characteristics of the fuzzy output for achieving overall performance of fuzzy control. First, different fuzzy systems are defined and then simplified for two-point control. Non-linearity tuning diagrams are constructed for fuzzy systems in order to perform high level tuning. The linear tuning parameters are deduced from the conventional PID tuning knowledge. Using the tuning diagrams, high level tuning heuristics are developed, Finally, different applications are demonstrated to show the validity of the proposed tuning method.
引用
收藏
页码:263 / 269
页数:7
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