The Vector Control of PMSM Based on the Inverse System Theory

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Abstract:

Against the existing poor dynamic performance, difficult to adjusting parameters of the controllers issue in PMSMs vector control system, based on the PMSM's dq rotating coordinate model, an inverse system model of PMSM is deduced. And a pseudo linear system realizing the decoupling of the d-axis current and mechanical velocity is constructed. By synthesizing the pseudo linear system, a sliding mode variable structure controller is proposed. In order to estimate rotor's position and speed, a reduced order observer for back electromotive force is proposed. At last some simulations are proceeded to verify the proposed system's performance. The simulation results show that the control strategy mentioned in this paper has good dynamics, steady state performance. Rotors position and speed can be accurately estimated by the proposed method.

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1587-1590

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Wang Qinglong,Zhang Chongwei,Zhang Xing. Variable-Structure MRAS Speed Identification for PermanentSynchronous Motor [J]. Proceedings of the CSEE, 2008, 29(9): 71-75.

Google Scholar

[2] Hao Wenjuan,Deng Zhiquan,Wang Xiaolin. EnhancedAdaptive Observer for Sensorless PMSM Drive System[J]. Transactions of China Electrochnical Society, 2009, 24(3): 41-46.

Google Scholar

[3] CHEN Xiao-Cen, ZHOU Dong-Hua, CHEN Mao-Yin. Decoupling Control of Gimbal Servo System of DGMSCMG Based onDynamic Inverse System Method [J]. ACTA AUTOMATICA SINICA. 2013, 39(5): 502-508.

DOI: 10.3724/sp.j.1004.2013.00502

Google Scholar

[4] ZHU Huangqiu, CAO Li, DIAO Xiaoyan, LI Tianbo, ZOU Hualei. Decoupling Control of Bearingless Synchronous Reluctance Motor Based on Support Vector Machines Inverse System Method [J]. Information and Control, 2012, 41(4): 485-491.

DOI: 10.1109/ccdc.2010.5498878

Google Scholar

[5] Wei-bing Gao. The theory and design method of variable structure control[M]. Beijing: Science press, 1996. 2.

Google Scholar

[6] Jin-kun Liu. The simulation of sliding mode variable structure control of using Matlab[M]. Tsinghua University press, (2005).

Google Scholar