迭代学习控制减小开关磁阻电机转矩脉动  

Iterative Learning Control to Reduce Switched Reluctance Motor's Torque Ripple

作　　者：黄海宏[1] 王海欣[1] 张志全[1] 张学[1] 

机构地区：[1]合肥工业大学电气学院,230009

出　　处：《电气应用》2006年第7期100-103,共4页Electrotechnical Application

摘　　要：为减小开关磁阻电机转矩脉动,基于开关磁阻电机数学模型,在转矩反馈的基础上,提出转矩补偿的迭代学习控制方法。通过迭代学习,调整各相绕组不同位置电流给定值,减小转矩脉动。分别对固定学习增益、变化学习增益和负载变化时转矩变化进行仿真,结果表明迭代学习控制策略快捷有效。In order to reduce switched reluctance motor＇s torque ripple, based on the motor＇s math model, the iterative learning control strategy by the feedback of torque is presented. The iterative learning control system adjusts the given current via rotor position to reduce torque ripple. The status of motor＇s torque variety are simulated aiming at changeless learning gain, changeable learning gain and load varied, the result shows that this control strategy is effective.

关 键 词：开关磁阻电机 转矩脉动 迭代学习控制 学习增益 

分 类 号：TM352[电气工程—电机] TP273.22[自动化与计算机技术—检测技术与自动化装置]