Title :
DSP based sensorless control for induction motor using extended Kalman filter
Author :
Bing, Deng ; Tao, Tian ; JunMin, Pan
Author_Institution :
Dept. of Autom., Shanghai Jiaotong Univ., China
Abstract :
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 motors is used to enhance the performance of the 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
Keywords :
Kalman filters; computerised control; digital control; digital signal processing chips; induction motors; machine control; velocity control; DSP based sensorless control; DSP chip; TMS320F240; extended Kalman filter; induction motor; overall speed control; rotor flux; speed estimation algorithm; stator currents; vector control; Control systems; Current measurement; Digital signal processing; Induction motors; Rotors; Semiconductor device measurement; Sensorless control; Stators; Velocity control; Velocity measurement;
Conference_Titel :
Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on
Conference_Location :
Jounieh
Print_ISBN :
0-7803-6542-9
DOI :
10.1109/ICECS.2000.911563