Abstract：The complicated multi-objective optimization problem exists when traditional model predictive control (MPC) is applied to the electrical excitation synchronous motor speed regulating system. Therefore, this paper proposes a full speed adaptive MPC (FSA-MPC) method. This method includes two primary steps of offline and online optimization, which ensures the quality of the rolling optimization. First of all, this paper establishes a discrete prediction model of electrical excitation synchronous motor, and designs the cost function weighted sum. Then the effects of different weighting coefficients on the optimization objects are analyzed. An ideal optimal weighting coefficient of coverage area by statistics is obtained. Finally, due to the incomplete configuration of weighting coefficients by offline exhaustive method, the online adaptive mechanism for online correction is introduced. The feasibility of FSA-MPC at full speed area is verified based on a 55kW prototype. Compared with the traditional MPC, the results show that the FSA-MPC achieves excellent control effects at full speed range.
刘向昕, 曹晓冬, 谭国俊, 吴轩钦, 殷实. 电励磁同步电机全速域自适应模型预测控制[J]. 电工技术学报, 2017, 32(4): 112-122.
Liu Xiangxin, Cao Xiaodong, Tan Guojun, Wu Xuanqin, Yin Shi. Full Speed Adaptive Model Predictive Control for Electrical Excitation Synchronous Motor. Transactions of China Electrotechnical Society, 2017, 32(4): 112-122.
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