优化开关序列的PWM整流器模型预测控制策略

doi:10.19595/j.cnki.1000-6753.tces.201325

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Abstract FCS-MPC predicts the optimal switching state by traversing the limited switching state at the current cycle. However, because of the irregular switching frequency, the harmonic spectrum of the system is dispersed, which further increases the difficulty of filter design. In this paper, taking the three-phase PWM voltage source rectifier as the research object, by analyzing the principle of model predictive control, an optimized switch sequence model predictive control (OSS-MPC) strategy based on multi-vector synthesis is proposed. It solves the problems of FCS-MPC, such as large system calculation and unstable switching frequency, while ensuring the control precision of the system. By optimizing the finite control set, the system calculation is reduced. Through the rearrangement of switch sequence, the uneven distribution of network side current spectrum caused by unstable switching frequency is solved. A simulation experiment is carried out and a test prototype is built. Compared with the finite set model predictive control strategy and SVM-MPC strategy, the superiority and effectiveness of the proposed method have been verified.

Key words： PWM rectifier model predictive control multi-vector synthesis finite control set switching sequence

Received: 29 September 2020

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TM461

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	Xiao Huihui
	Wei Sudong
	Guo Qiang
	Li Shan
	Lan Zijun

Cite this article:

Xiao Huihui,Wei Sudong,Guo Qiang等. Model Predictive Control Strategy for PWM Rectifier with Optimized Switching Sequence[J]. Transactions of China Electrotechnical Society, 2022, 37(14): 3665-3675.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.201325 OR https://dgjsxb.ces-transaction.com/EN/Y2022/V37/I14/3665

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