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基于模糊逻辑的开关磁阻电机无位置检测方法改进
引用本文:张大鹏,王炜,苏兰欣. 基于模糊逻辑的开关磁阻电机无位置检测方法改进[J]. 现代电子技术, 2008, 31(6): 171-174
作者姓名:张大鹏  王炜  苏兰欣
作者单位:天津工业大学,天津,300160
摘    要:阐述开关磁阻电机驱动系统中取消位置传感器的理论依据,介绍一种基于模糊模型的转子位置检测方法。此方法以电流和磁链作为输入,用模糊算法运算得到转子的位置。为提高转子的精度,引入几种改进算法。前置滤波器用来检测和消除反馈信号中的噪声,自适应模糊参考系统用于优化电机模糊模型,位置预测模块则对转子位置进行修订。仿真分析证明,这种转子位置检测方法具有很高的精度。

关 键 词:开关磁阻电机驱动系统  转子位置检测  自适应模糊参考系统  模糊算法
文章编号:1004-373X(2008)06-171-04
修稿时间:2007-09-19

An Improved Sensorless Driving Method of Switched Reluctance Motors Based on Fuzzy Logic
ZHANG Dapeng,WANG Wei,SU Lanxin. An Improved Sensorless Driving Method of Switched Reluctance Motors Based on Fuzzy Logic[J]. Modern Electronic Technique, 2008, 31(6): 171-174
Authors:ZHANG Dapeng  WANG Wei  SU Lanxin
Abstract:The measurement of rotor position for switched reluctance drive is essential to proper running.This paper introduces a method of detecting the rotor position based on fuzzy logic.In order to improve the measurement accuracy of the rotor position,some unique techniques are adopted.At first,the block of predictive filter is used to examine and eliminate the noise of the feedback signal.Then,an optimized fuzzy model of the motor is created using an Adaptive Neural Fuzzy Inference System(ANFIS).At last,the block of angle position selector can modify the rotor-position.The result of simulation indicates that the position obtained by this method is accurate for the operation of SRM.
Keywords:switched reluctance motor driving system  rotor position detection  Adaptive Neural Fuzzy Inference System(ANFIS)  fuzzy algorithm
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