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基于转矩逆模型的开关磁阻电机滑模变结构控制
引用本文:李毓洲,赵克刚.基于转矩逆模型的开关磁阻电机滑模变结构控制[J].微电机,2011,44(2).
作者姓名:李毓洲  赵克刚
作者单位:1. 广东工业大学机电工程学院,广州,510006
2. 华南理工大学机械与汽车工程学院,广州,510640
基金项目:国家自然科学基金,广东工业大学博士启动基金
摘    要:开关磁阻电机的转矩脉动是其应用的一个问题.该文应用小波神经网络建立对应开关磁阻电机位置信号的非线性映射,估计转子位置角度,提出利用自适应模糊神经网络学习训练开关磁阻电机转矩逆模型优化期望转矩所需的相电流,采用滑模电流控制器实现电机转矩的低脉动控制,仿真结果表明方法的有效性,能够有效地控制开关磁阻电机转矩按期望变化.

关 键 词:开关磁阻电机  转矩逆模型  滑模变结构控制  自适应模糊神经网络

Slid Mode Control of Switch Reluctance Motor Based on Torque Inverse Model
LI Yuzhou,ZHAO Kegang.Slid Mode Control of Switch Reluctance Motor Based on Torque Inverse Model[J].Micromotors,2011,44(2).
Authors:LI Yuzhou  ZHAO Kegang
Affiliation:LI Yuzhou1,ZHAO Kegang2(1.Faculty of Electromechanical Engineering,Guangdong University of Technology,Guangzhou 510006,China,2.School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,China)
Abstract:The torque ripple of switched reluctance motor is a crucial problem in its application.The non-linear reflection of position signal of switched reluctance motor was built up by wavelet neural networks and the rotor position angle is estimated.In addition,in this paper the method was discussed that the torque inverse model of switched reluctance motor was trained by the adaptive-neural networks to optimize the required phase current of expected torque and the low ripple torque control was realized by slide m...
Keywords:switched reluctance motor  torque inverse model  slide mode control  adaptive fuzzy neural network  
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