电工技术学报2017，Vol.32Issue(4)：112-122,11.
电励磁同步电机全速域自适应模型预测控制
Full Speed Adaptive Model Predictive Control for Electrical Excitation Synchronous Motor
摘要
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.关键词
模型预测控制/全速域自适应/权值系数/自适应优化Key words
Model predictive control/full speed adaptive/weighting coefficient/adaptive optimization分类
信息技术与安全科学引用本文复制引用
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):112-122,11.基金项目
中央高校基本科研业务费专项资金资助项目(2012LWB73). （2012LWB73）
