Electromagnetic Parameter Identification Algorithm of AC Motor Based on Extended Kalman Filter

Abstract

Abstract:

It is the precondition for AC drive system to determine the electromagnetic parameters of induction machine exactly. But in the running process of the motor, the electrical parameters will change, that maybe result from the effect of temperature, frequency, and flux. Especially, variations of stator resistance and magnetizing inductance are not only relevant to identification error of flux and speed directly, but also impact of the driven system performance. By measuring stator voltage and current, a novel algorithm is presented based on the serial operation of two extend Kalman filter (EKF) in this paper. This approach will achieve rotor stator resistance, magnetizing inductance, rotor flux, speed as well as high-precision identifications online. Experimental and simulation results show that the developed algorithm leads to smaller system error than the traditional one and can meet the precision requirement in speed sensor-less vector control system of induction motor.

Key words: Parameter identification, extend Kalman filter, field-oriented, speed-sensorless, digital singnal process

CLC Number:

TM301.02

Li Hongyu,Wang Qunjing,Li Guoli,Xie Fang,Xie Peng,Yang Xinnian. Electromagnetic Parameter Identification Algorithm of AC Motor Based on Extended Kalman Filter[J]. Journal of Electrical Engineering, 2015, 10(5): 34-42.

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	程序/字	数据/字	指令周期
环形链式	10 035	5 262	5 162（单次）
传统算法	4 517	2 904	5 081（两次）
二者差	5 518	2 358	81