永磁同步电机双矢量模型预测控制的计算量优化方法研究

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DOI：10.15938/j. emc.2025.05.003

中图分类号：TM341 文献标志码：A 文章编号：1007-449X（2025）05-0019-12

Double-vector model predictive current control for PMSM drive system with low calculation burden

XU Qiwei1， LONG Xuehan¹， MIAO Yiru1， WANG Yiming1 ，TU Yuxiaoying1，2 TANG Mengyang 3

（1.State KeyLaboratoryofPower Transmission Equipment Technology，Chongqing University，Chongqing 40O044，China; 2.School of Intelligent Manufacturing，Wenzhou Polytechnic，Wenzhou 325O35，China；3.Key Laboratoryof SmartGrid and Inteligent Control in Nanchong，Southwest Petroleum University，Nanchong 637OO1，China）

Abstract：The double vector model predictive control strategy can improve the steady-state control performance of the motor without significantly increasing switching losses. However，its vector determination method and duty cycle calculation process are more complex，which requires heavy computation burden. Therefore，a double-vector model predictive control scheme with low computational burden for PMSM was proposed. Firstly，when the PMSM operates in the steady-state，the candidate range of the first optimal active vector was reduced to three，including the first optimal vector adopted in the previous control period and its adjacent active voltage vectors.The cost function was sequentially substituted to determine the first optimal vector，thereby the number of comparisons decreases from six times to three times.Then， theremaining two vectors and the zero vector was considered as the alternatives for the second optimal vector，according to the deadbeat condition of the q-axis current，the duty cycle of all vector combinations was obtained separately. The vector combination and duty cycle that minimizes the cost function was obtained by substituting the vectors with their duty cycle into the cost function. Finally，the simulation models and experimental platforms were established，the stability，feasibility and effctiveness of the proposed model predictive control scheme with low computation burden were certified，respectively. The proposed model predictive control can achieve a current THD of 6.57% and a torque ripple of ±0.4 N·m with an average calculation time of only 15.3μs . Compared with other model predictive control methods，it can obtain the best steady-state performance.

Keywords： model predictive current control； low computation； permanent magnet synchronous motor（PMSM） ；vector selection；calculation of duty cycle

0引言

电机驱动系统在轨道交通、电动汽车和航空航天等许多领域发挥着重要作用[1]。（剩余13257字）