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作 者:骆新 邵虹君 段洪君 杨雨彬 LUO Xin;SHAO Hongjun;DUAN Hongjun;YANG Yubin(Graduate School of Northeastern University at Qinhuangdao,Qinhuangdao 066004,China)
机构地区:[1]东北大学秦皇岛分校研究生分院,秦皇岛066004
出 处:《电力系统及其自动化学报》2023年第5期11-18,共8页Proceedings of the CSU-EPSA
基 金:国家自然科学基金资助项目(51807139);天津市自然科学基金资助项目(19JCQNJC03600)。
摘 要:为解决传统模型预测控制结合离散空间矢量调制MPC-DSVM(model predictive control-discrete space vector modulation)方法计算量大的问题,提出了一种基于细化分区的简化MPC-DSVM策略。该方法将电流跟踪转化成电压矢量控制,运用无差拍控制结合数学几何法快速确定最优矢量,简化了寻优过程,将参与在线寻优的候选矢量数目从传统MPC-DSVM的74个减少为3个,大幅度降低了计算成本。结果表明,该方法可以固定开关频率,有效地降低输出电流谐波,具有良好的稳态和动态控制性能。To solve the problem of a large calculation quantity when using the traditional model predictive control-dis⁃crete space vector modulation(MPC-DSVM)method,a simplified MPC-DSVM strategy based on refining subdivision is proposed in this paper.This method converts current tracking into controlling voltage vectors,and uses the dead-beat control combined with the mathematical geometry method to determine the optimal vector quickly,thus simplifying the optimization process.The number of candidate vectors involved in online optimization is reduced from 74 in the tradi⁃tional MPC-DSVM method to 3,which reduces the calculation cost significantly.It is concluded that this method can not only fix the switching frequency,but also effectively reduces the output current harmonic,showing satisfying steadystate and dynamic control performance.
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