Induction motor servo drive using robust PID-like neuro-fuzzy controller

被引：32
|
作者：
Kim, SM [1 ]
Han, WY
机构：
[1] Seoul Natl Univ, Sch Elect Engn & Comp Sci, Seoul 151744, South Korea
[2] Jeonju Tech Coll, Dept Digital & Elect Informat, Chonju 560760, South Korea
来源：
CONTROL ENGINEERING PRACTICE | 2006年 / 14卷 / 05期
关键词：
induction motor; self-tuning; fuzzy;
D O I：
10.1016/j.conengprac.2005.03.002
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A robust PID-like neuro-fuzzy controller, which has an ability to compensate for parameter variation, is proposed and applied to the speed control of the indirect vector-controlled induction motor. The controller gains are adjusted on-line using the tuning algorithm based on an artificial neural network (ANN). And a variable learning rate algorithm is proposed to improve the tracking performance while keeping the robustness. Simulation and experimental results confirm that good dynamic performance and high robustness to parameter variation and disturbance can be achieved by means of the proposed controller. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码：481 / 487
页数：7
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