Fuzzy logic control with genetic membership function parameters optimization for the output regulation of a servomechanism with nonlinear backlash

被引：81

作者：

Cazarez-Castro, Nohe R. ^{[1
]}

Aguilar, Luis T. ^{[2
]}

Castillo, Oscar ^{[3
]}

机构：

[1] Univ Autonoma Baja California, Fac Ciencias Quim & Ingn, Tijuana 22390, BC, Mexico

[2] Inst Politecn Nacl, Ctr Invest & Desarrollo Tecnol Digital, Tijuana 22510, BC, Mexico

[3] Inst Tecnol Tijuana, Div Estudios Posgrad & Invest, Tijuana 22414, BC, Mexico

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2010年 / 37卷 / 06期

关键词：

Type-2 fuzzy systems; Fuzzy control; Genetic algorithm; Backlash; SYSTEMS;

D O I：

10.1016/j.eswa.2009.11.091

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper presents a hybrid architecture, which combines Type-1 or Type-2 fuzzy logic system (FLS) and genetic algorithms (GAs) for the optimization of the membership function (MF) parameters of FLS, in order to solve to the output regulation problem of a servomechanism with nonlinear backlash. In this approach, the fuzzy rule base is predesigned by experts of this problem. The proposed method is far from trivial because of nonminimum phase properties of the system. The simulation results illustrate the effectiveness of the optimized closed-loop system. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：4368 / 4378

页数：11

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