基于迭代学习控制的开关磁阻电机调速系统的研究  

Study of Speed Governing Control System for Switched Reluctance Motor Based on Iterative Learning Control

作　　者：胡瑞华[1] 

机构地区：[1]南阳理工学院电子与电气工程系,河南南阳473004

出　　处：《煤炭技术》2011年第4期33-34,共2页Coal Technology

摘　　要：介绍开关磁阻电机的调速系统及各运行状态的控制,由于需要拖动大惯性负载,使电机在制动过程中不稳定,因此在分析开关磁阻电机调速特性和控制方式的基础上,提出了用迭代学习算法来控制电流的方法,组成双闭环控制系统。对开关磁阻电机调速系统进行MATLAB仿真,达到了理想的控制效果。SRM speed control system and operation control because of the need to drag large load inertia,so that the electrical instability in the braking process,so analysis of the characteristics of SRD and control methodsBased on the use of iterative learning algorithm to control the current method to form the dual closed-loop control system.On the switched reluctance drive for MATLAB simulation to the ideal of control.Application of iterative learning control theory to improve the system inertia loads,there are a lot of theoretical and practical significance.

关 键 词：开关磁阻电机 大惯性 迭代学习控制 仿真 

分 类 号：TM35[电气工程—电机]