Finite Control Set Model Predictive Control of Permanent Magnet Synchronous Motor Based on Multi-Core Parallel Computing
Liu Tao1, Xi Jinyu1, Song Zhanfeng2, Wang Meng3
1. Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy Tiangong University Tianjin 300387 China; 2. School of Electrical and Information Engineering Tianjin University Tianjin 300072 China; 3. College of Electronic and Electric Engineering Henan Normal University Xinxiang 453007 China
Abstract：Finite control set model predictive control (FCS-MPC) has a contradiction between long program execution time and short control period, and its algorithm execution efficiency is lower than the traditional linear control algorithm, which further affect the improvement of the switching frequency and control accuracy. In order to solve this problem, combined with the development of multi-core microcontrollers in recent years, this paper proposed a multi-core parallel computing based FCS-MPC strategy for permanent magnet synchronous motor. FCS-MPC has a high dependence on data and timing, which contradicts the independent characteristics of multi-core microcontrollers. This paper designed the dual-core and quad-core control architectures, and proposed the data exchange strategy and dynamic flags. With the experimental system, the transient and steady state performance, the additional constraint compatibility, and the program execution time of the proposed method were analyzed and compared. It is proved that the proposed method can effectively reduce the execution time of FCS-MPC strategy while maintaining the performance and characteristics of the original algorithm.
刘涛, 习金玉, 宋战锋, 王萌. 基于多核并行计算的永磁同步电机有限集模型预测控制策略[J]. 电工技术学报, 2021, 36(1): 107-119.
Liu Tao, Xi Jinyu, Song Zhanfeng, Wang Meng. Finite Control Set Model Predictive Control of Permanent Magnet Synchronous Motor Based on Multi-Core Parallel Computing. Transactions of China Electrotechnical Society, 2021, 36(1): 107-119.
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2021, Vol. 36 
