DC Motor Control based on Artificial Neural Network and Adaptive PI

被引：0
|
作者：
Pengpraderm, S. [1 ]
Ruangsinchaiwanich, S. [2 ]
机构：
[1] Rajamangala Univ Technol Lanna Tak, Fac Engn, Dept Elect & Comp Engn, Tak 63000, Thailand
[2] Naresuan Univ, Fac Engn, Dept Elect & Comp Engn, Phitsanulok 65000, Thailand
来源：
2014 17TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS) | 2014年
关键词：
PI controller; adaptive PI controlle; r DC motor; artificial neural network;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This research proposes an adaptive PI controller for controlling DC motor. The feed-forward neural network is selected to cooperate with PI controller for improving motor control while the motor is operated in compressed load. The results showed that the proposed control method can potentially improve control performances, such as reduce ripple and overshoot.
引用
收藏
页码：2701 / 2704
页数：4
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