Position Sensorless Control of the Switched Reluctance Motor Based on Extended Kalman Filter

被引：0
|
作者：
Li Wei-Hua [1 ]
Li Yu-zhou [1 ]
机构：
[1] Guangdong Univ Technol, Fac Electromech Engn, Guangzhou, Guangdong, Peoples R China
来源：
2010 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER SCIENCE AND ENGINEERING (CSE 2010) | 2010年
关键词：
Switched Reluctance Motor; Extended Kalman Filter; Position Estimate; Simulation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
It is important to use non position sensor controlling strategy to improve the performance of switched reluctance drive system. A novel method that estimates the speed and rotor of switched reluctance motor basing on extended Kalman filter is introduced. By the algorithm and method, the non position sensor controlling strategy of switched reluctance motor is realized. The simulated results show that the method has better forecast, emendation, as well as precise track of position and speed of switched reluctance motor. In addition, the method can solve the problem of system parameter variation and system interfere, and measure the effect of observed interfere.
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页码：12 / 15
页数：4
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