Induction Motor Vector Control Based on Adaptive Identification of Rotor Parameters

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Abstract:

The paper analyzed the influence of rotor parameters changing for the induction motor vector control, and an adaptive identification method for rotor parameters was proposed. Based on Lyapunov stabilization theory, design method of adaptive identification discipline was expatiated. The model of rotor parameters adaptive identification under induction motor vector control was completed using Matlab/Simulink. The simulation results demonstrate the feasibility of the proposed method, and it can be taken as the theory and practice reference for improve the orientation bias for vector control system.

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1517-1523

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Hamid A. Toliyat, Emil Levi, Mona Raina. A Review of RFO Induction Motor Parameter Estimation Techniques. IEEE Trans on Energy Conversion, 2003, 18(2): 271-282.

DOI: 10.1109/tec.2003.811719

Google Scholar

[2] Li Jianjun, Sheng Jiebo, Wang Cui, Gui Weihua. Research on Parameter Identification Method for Induction Motor. Transactions of CHINA Electrotechnical Society, 2006, 21(1): 70-74.

Google Scholar

[3] Kaiyu Wang, John Chiasson, Marc Bodson. An Online Rotor Time Constant Estimator for the Induction Machine. IEEE Trans on Control Systems Technology, 2007, 15(2): 339-347.

DOI: 10.1109/tcst.2006.886445

Google Scholar

[4] Constantine Mastorocostas, Iordanis Kioskeridis, Nikos Margaris. Thermal and Slip Effects on Rotor Time Constant in Vector Controlled Induction Motor Drives. IEEE Trans on Power Technology, 2006, 21(2): 495-504.

DOI: 10.1109/tpel.2005.869765

Google Scholar

[5] Liu Yan, Shao Cheng, Ding Yuanming. Modeling and Simulating of Variable Parameters Induction Motors in Electric Vehicle Applications. Journal of System Simulation, 2006, 18(12): 3358-3364.

Google Scholar

[6] Dong Lei, Li Yongdong, Wang Wensen, Li Mingcai. Rotor Resistance Adaptive Identification for Vector Control of Induction Motor. Transactions of CHINA Electrotechnical Society, 2002, 17(4): 13-16.

DOI: 10.1109/ias.2001.955909

Google Scholar

[7] Jin Hai, Huang Jin. Adaptive Flux Estimation and Parameters Identification of Induction Motors Based on Model Reference Approach. Transactions of CHINA Electrotechnical Society, 2006, 21(1): 65-69.

Google Scholar