基于随机滤波器的无位置传感器SMPM电机磁通辨识  

Flux Identification of Sensorless SMPM Drive Based on Stochastic Filtering

作　　者：姜晓亮[1] 张忠英[1] 孙频东[1] Z. Q. Zhu 

机构地区：[1]南京师范大学电气与自动化工程学院,江苏南京210042 [2]Department of Electronic and Electical Engineer/ng, University of Sheffield, UK

出　　处：《南京师范大学学报（工程技术版）》2010年第1期22-26,共5页Journal of Nanjing Normal University(Engineering and Technology Edition)

基　　金：南京师范大学留归基金(2008111XLH0069)

摘　　要：用随机滤波器对无速度传感器的交流永磁电机的转子磁通进行观测.观测过程中为了降低计算量,采用参数的混合辨识方法,把滑模观测器引入磁通辨识系统,代替位置传感器对转子位置和速度进行估计.用Matlab7.0建立离线辨识模型,仿真分析了转子磁通估计值与实际值之间的误差,以及磁通估计值随负载转矩大小的变化情况.Flux identification for sensorless surface mounted permanent machine （SMPM） drive based on stochastic fil- ter has been proposed. A mixed observer has been employed in the process. In order to reduce the duty of calculation, sliding mode observer has been used in the system to get the position and speed message instead of position sensor. Sys- tem model has been established by Matlab7.0. The differences between estimated value and real value of flux, and the variation of estimated values under different load torques have been analyzed with simulation.

关 键 词：随机滤波器 滑模观测器 磁通辨识 SMPM电机 MATLAB/SIMULINK 

分 类 号：TM33[电气工程—电机]