DSP based sensorless control for induction motor using Extended Kalman Filter

被引：0
|
作者：
Deng, B [1 ]
Tao, T [1 ]
Pan, JM [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200030, Peoples R China
来源：
ICECS 2000: 7TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS & SYSTEMS, VOLS I AND II | 2000年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a method to realize the sensorless control of an induction motor using Extended Kalman Filter (EKF). With this method, the speed of an induction motor and rotor flux can be estimated based on the measured stator currents and voltages. The estimated speed is used for vector control and overall speed control. A DSP chip (TMS320F240) especially designed for controlling motor is used to enhance the performance of control system. Simulations and experiments of the speed control for induction motor have been carried out to validate the speed estimation algorithm. The results of experiments show that the performance of the speed estimation is very good.
引用
收藏
页码：390 / 393
页数：4
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