ADAPTIVE SPEED CONTROL FOR INDUCTION-MOTOR DRIVES USING NEURAL NETWORKS

被引：38
|
作者：
KUNG, YS
LIAW, CM
OUYANG, MS
机构：
[1] Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, Taiwan, Republic of
[2] Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, Republic of
来源：
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 1995年 / 42卷 / 01期
关键词：
D O I：
10.1109/41.345842
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the adaptive speed control of induction motor drives using neural networks is presented. To obtain good tracking and regulating control characteristics, a digital two-degree-of-freedom (2DOF) controller is adopted and a design procedure is developed for systematically finding its parameters according to prescribed specifications. The parameters of the controller corresponding to various drive parameter sets are found off-line and used as the training patterns to estimate the connection weights of neural networks. Under normal operation, the true drive parameters are real-time identified and they are converted into the controller parameters through multilayer forward computation by neural networks. The parameters of the 2DOF controller can be adapted to match the desired specifications under various operating conditions.
引用
收藏
页码：25 / 32
页数：8
相关论文
共 50 条
12345