Optimal Fuzzy Control of Piezoelectric Systems Based on Hybird Taguchi Method and Particle Swarm Optimization

被引：2

作者：

Yu, Gwo-Ruey

Huang, Ji-Wei

Chen, Yu-Hsuan

机构：

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 | 2009年

关键词：

T-S fuzzy model; piezoelectric system; Taguchi method; particle swarm optimization; ACTUATORS;

D O I：

10.1109/ICSMC.2009.5346584

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a novel evolutionary algorithm based on a hybrid of Taguchi method and particle swarm optimization (PSO), and thus is called HTPSO. First, the non-linear nano-positioning system is approximated by the Takagi-Sugeno (T-S) fuzzy model. Second, the parallel distributed compensation (PDC) is designed to control the piezoelectric system. Last, the parameters of the fuzzy controller are determined by the HTPSO approach. The HTPSO could search the optimal control force to improve the performance of the piezoelectric system. Computer simulation demonstrates the HTPSO possesses the best robustness against external disturbance.

引用

页码：2794 / 2799

页数：6