DocumentCode
2989637
Title
Induction Motor Vector Control Based on Adaptive Identification of Rotor Resistance
Author
Gong Shuqiu ; Li Zhongli
Author_Institution
Dept. of Electr. Eng., Shenyang Univ. of Technol., Shenyang, China
fYear
2012
fDate
7-9 Dec. 2012
Firstpage
145
Lastpage
148
Abstract
In the induction motor frequency control system, the variation of rotor resistance which can be changed by the temperature rise and skin effect affects the estimation of rotor flux. The precise of rotor resistance restricts the performance of the control system. In order to improve of the vector control system, the rotor resistance must be identified real-time and accurately. According to model reference adaptive system(MRAS), a new method of rotor resistance identification based on rotor flux orientation is proposed. Based on Lyapunov stabilization theory, this method is simple, small amount of calculation and identification precision. The model of rotor resistance adaptive identification under induction motor vector control is completed using Matlab/Simulink. The simulation results certify that the proposed algorithm is useful to identify the rotor resistance precisely and rapidly.
Keywords
Lyapunov methods; frequency control; induction motors; machine vector control; magnetic flux; model reference adaptive control systems; rotors; stability; Lyapunov stabilization theory; Matlab; Simulink; induction motor frequency control system; induction motor vector control; model reference adaptive system; rotor flux estimation; rotor flux orientation; rotor resistance adaptive identification; rotor resistance identification; skin effect; vector control system; Adaptation models; Induction motors; Mathematical model; Observers; Resistance; Rotors; Stators; Induction motor; model reference adaptive system (MRAS); rotor flux orientation; rotor resistance; vector control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
Conference_Location
Liaoning
Print_ISBN
978-1-4673-4499-9
Type
conf
DOI
10.1109/ICCECT.2012.66
Filename
6414133
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