Automatic Fuzzy Membership Function Tuning Using the Particle Swarm Optimisation

被引：0
作者：
Fang, Gu [1 ]
Kwok, Ngai Ming [2 ]
Ha, Quang [2 ]
机构：
[1] Univ Western Sydney, Sch Engn, Penrith, NSW 1797, Australia
[2] Univ Technol Sydney, Fac Engn, Sydney, NSW 2007, Australia
来源：
PACIIA: 2008 PACIFIC-ASIA WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION, VOLS 1-3, PROCEEDINGS | 2008年
关键词：
CONTROLLER;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Fuzzy logic controllers (FLCs) are developed to exploit human expert knowledge in designing control systems. While the fuzzy rules are relatively easy to obtain, fuzzy membership function (MF) tuning could be a time consuming exercise. In this paper the particle swarm optimization technique is employed to automatically tune the MFs of a Mamdani-type of fuzzy controller. The effectiveness of the proposed controller is demonstrated by the control performance of such an FLC of a nonlinear water tank system. The results are compared favourably to a PSO tuned PID controller.
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页码：1290 / +
页数：2
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