Robust Control Strategy for the Speed Control of Brushless DC Motor

被引:0
|
作者
Zhi Liu [1 ]
Bai-Fen Liu [2 ]
机构
[1] School of Traffic and Transportation Engineering,Central South University
[2] School of Electrical and Electronic Engineering,East China Jiaotong University
关键词
brushless DC motor ( BLDCM); BP ( back propagation algorithms); ADRC ( active-disturbance rejection control); parameters self-turning;
D O I
暂无
中图分类号
TM301.2 [电机的控制];
学科分类号
080801 ;
摘要
Brushless DC motor ( BLDCM) speed servo system is multivariable,nonlinear and strong coupling. The parameter variation, the cogging torque and the load disturbance easily influence its performance. Therefore,it is difficult to achieve superior performance by using the conventional PID controller. To solve the deficiency,the paper represents the algorithm of active-disturbance rejection control ( ADRC) based on back-propagation ( BP) neural network. The ADRC is independent on accurate system and its extended-state observer can estimate the disturbance of the system accurately. However,the parameters of Nonlinear Feedback ( NF) in ADRC are difficult to obtain. So in this paper,these parameters are self-turned by the BP neural network. The simulation and experiment results indicate that the ADRC based on BP neural network can improve the performances of the servo system in rapidity,control accuracy,adaptability and robustness.
引用
收藏
页码:90 / 94
页数:5
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