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.
杨兴武, 牛梦娇, 李豪, 符杨. 基于开关状态函数计算的改进模型预测控制[J]. 电工技术学报, 2018, 33(20): 4834-4844.
Yang Xingwu, Niu Mengjiao, Li Hao, Fu Yang. Improved Model Predictive Control Based on Switching State Function Calculation. Transactions of China Electrotechnical Society, 2018, 33(20): 4834-4844.
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2018, Vol. 33 
