基于滑模模型参考自适应系统观测器的永磁同步电机预测控制

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Abstract This paper proposed a novel sensorless model predictive control strategy for PMSM driven by an improved three-level inverter, to meet the high-power control demand. Firstly, the finite control set model predictive control (FCS-MPC) scheme for the drive system was introduced. By establishing objective function and rolling optimization, the switching states corresponding to the optimal voltage vector were chosen as the future output states of the inverter. Secondly, for the sensorless control of PMSM drive system, this paper designed an observer based on the theory of sliding and MRAS. The observer can estimate the position and speed of the motor rotor. Thus, the stability of the observer was proved. At last, the results of simulations and experiments verify the performance of the observer and the control strategy.

Key words： Permanent magnet synchronous motor three-level inverter predictive control sliding model reference adaptive system observer

Received: 14 July 2015 Published: 29 March 2017

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TM341

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	Lin Mao
	Li Yinghui
	Wu Chen
	Yuan Guoqiang
	Li Chen

Cite this article:

Lin Mao,Li Yinghui,Wu Chen等. A Model Reference Adaptive System Based Sliding Mode Observer for Model Predictive Controlled Permanent Magnet Synchronous Motor Drive[J]. Transactions of China Electrotechnical Society, 2017, 32(6): 156-163.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I6/156

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