基于开关状态函数计算的改进模型预测控制

doi:10.19595/j.cnki.1000-6753.tces.171018

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Abstract The traditional finite state model predictive control (FCS-MPC) uses the enumeration method to select the optimal voltage vector, resulting in a large amount of calculation of the digital controller. Therefore, a simplified MPC strategy is proposed to reduce the computational complexity while maintaining the dynamic and steady-state performance of the original algorithm. However, these methods have the disadvantages of high sampling frequency and large steady-state power errors. With the discrete prediction model of the three-phase AC-DC converter, a model predictive control method based on switching state function calculation directly is proposed in this paper, which takes negative conjugate of complex power in synchronous frame as the control variable. According to the length and the sector of the power control error vector, the switching state function of each phase is calculated directly. The precise tracking control of system power is also carried out through the modulation process. The proposed method can not only retain the advantage of fast dynamic response, but realize the minimization of power tracking error. Both simulation and experimental results verify the effectiveness and correctness of the proposed method.

Key words： AC-DC converter model predictive control switching state function power tracking error

Received: 14 July 2017 Published: 30 October 2018

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TM46

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	Articles by authors
	Yang Xingwu
	Niu Mengjiao
	Li Hao
	Fu Yang

Cite this article:

Yang Xingwu,Niu Mengjiao,Li Hao等. Improved Model Predictive Control Based on Switching State Function Calculation[J]. Transactions of China Electrotechnical Society, 2018, 33(20): 4834-4844.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.171018 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I20/4834

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