Model following adaptive controller with RNN-based rotor resistance estimator for induction motor drives

被引:0
|
作者
Kim, MY [1 ]
Kim, SJ [1 ]
机构
[1] Chonbuk Natl Univ, Sch Elect & Informat Engn, Chonju 560756, South Korea
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents an indirect field-oriented (IFO) induction motor position servo drives which uses the model following adaptive controller with the recurrent neural network (RNN)-based rotor resistance estimator. The model reference adaptive system (MRAS)-based 2-layer RNN estimates the rotor resistance on-line and a linear model following position controller is designed by using the estimated rotor resistance value. At the end, a fuzzy logic system (FLS) is added to make the position controller robust to the external disturbances and the parameter variations. The simulation results show the effectiveness of the proposed method.
引用
收藏
页码:409 / 414
页数:6
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