基于改进ESO的PMSM三矢量模型预测控制方法  

Method for PMSM Three-Vector Model Predictive Current Control Based on Improved ESO

作　　者：马宇 孙志锋[1,2] 马风力 黄颖 MA Yu;SUN Zhifeng;MA Fengli;HUANG Ying(School of Electrical Engineering,Zhejiang University,Hangzhou 310027,China;Hangzhou Lichao Intelligent Technology Co.,Ltd.,Hangzhou 311200,China)

机构地区：[1]浙江大学电气工程学院,浙江杭州310027 [2]杭州力超智能科技有限公司,浙江杭州311200

出　　处：《电工技术》2025年第3期101-105,119,共6页Electric Engineering

摘　　要：永磁同步电机的模型预测控制是目前电机控制技术的研究热点之一,传统的单矢量模型预测电流控制(Model Predictive Current Control,MPCC)方法每个周期只有1个电压矢量作用,因此稳态性能较差,而且MPCC的控制性能受电机参数的影响较大。针对上述问题,提出了一种改进方法,即通过改进扩张状态观测器增加MPCC对电机参数的鲁棒性,结合一种新的三矢量模型预测控制方法来改善MPCC特性。仿真结果验证了本文所提方法的有效性。The model predictive control of permanent magnet synchronous motor is one of the research hot spots of motor control technology at present.The traditional single-vector Model Predictive Current Control(MPCC)method has only one voltage vector acting in each cycle,so the steady state performance is poor,and the control performance of the MPCC is greatly affected by the motor parameters.To address the above problems,this paper proposes an improvement method-to increase the robustness of MPCC to motor parameters by improving the expansion state observer,combined with a new three-vector model predictive control method to improve the MPCC characteristics.Simulation results verify the effectiveness of the method proposed in this paper.

关 键 词：永磁同步电机 模型预测电流控制 扩张状态观测器 三矢量 

分 类 号：TM351[电气工程—电机]