DocumentCode
482247
Title
Practical speed estimation method for induction motor vector control system using digital signal processor(DSP)
Author
Jian, Zhang ; Hui, Wen Xu ; Yang, Hua
Author_Institution
Inst. of Electr. Eng., Chinese Acad. of Sci., Beijing
fYear
2008
fDate
17-20 Oct. 2008
Firstpage
74
Lastpage
78
Abstract
This paper presents an improved speed sensorless vector control method for general-purpose induction motors (IMs). The proposed method is based on the d-q axis dynamic model of the induction motor and an improved closed-loop flux observer, which can achieve precise rotor and stator flux estimation over a wide speed range. And then, a rotor-speed-estimation method, based on fuzzy control theory, is discussed and deduced. Simulation results are compared between estimated speed got from fuzzy controller and common PI controller. Finally, a series of experimental research are conducted and the results verify the scheme above is valid and the estimated speed tracks the actual speed well in both rated speed region and field weakening region. The proposed algorithm has simpler control algorithms and little computational burden, both the flux observation and speed estimation can achieve perfect effect in both steady-state operating condition as well as in transient operation.
Keywords
PI control; angular velocity control; closed loop systems; digital signal processing chips; fuzzy control; induction motors; machine vector control; observers; DSP; PI controller; closed-loop flux observer; d-q axis dynamic model; digital signal processor; field weakening region; fuzzy control theory; induction motor vector control system; rated speed region; rotor-speed-estimation method; sensorless vector control; steady-state operating condition; transient operation; DC motors; Fuzzy control; Induction motors; Machine vector control; Rotors; Signal processing; Signal processing algorithms; Stators; Torque control; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3826-6
Electronic_ISBN
978-7-5062-9221-4
Type
conf
Filename
4770651
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