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
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;
Conference_Titel :
Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
Conference_Location :
Liaoning
Print_ISBN :
978-1-4673-4499-9
DOI :
10.1109/ICCECT.2012.66
