Dynamic Fuzzy Modeling of Ultrasonic Motor Using Ant Colony Algorithm

被引：0
|
作者：
Lv Lin [1 ]
Shi Jingzhuo [1 ]
机构：
[1] Henan Univ Sci & Technol, Luoyang 471003, Peoples R China
来源：
CEIS 2011 | 2011年 / 15卷
关键词：
Ultrasonic Motor; Model; Fuzz(a)y; Identification; Ant Colony Optimization;
D O I：
10.1016/j.proeng.2011.08.059
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The model of ultrasonic motor system is an important premise of designing motor motion controller. This paper works out fuzzy modeling method of ultrasonic motor system. Ant colony optimization and least square method are used to obtain the unknown parameters of membership functions and fuzzy rules, respectively. The two-input and one-output Takagi-Sugeno model is established, and the model can well show the nonlinear dynamic relationship of ultrasonic motor system. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
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页数：6
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