辽宁工程技术大学学报（自然科学版）2024，Vol.43Issue(4)：486-493,8.DOI:10.11956/j.issn.1008-0562.20230359
基于龙伯格观测器的PMSM双矢量模型预测控制
PMSM two-vector model predictive control based on Luenberger observer
摘要
Abstract
When a permanent magnet synchronous motor is dynamically controlled by a finite set model prediction,although the dynamic performance is excellent,there are problems of poor steady state performance and high computational effort.This paper develops a two vector based model predictive current control strategy depend on the Luenberger observer to solve the above mentioned problem.Firstly,a new voltage vector selection table is constructed by using the conventional duty cycle model to predict the variation law of the sector where the sub-optimal voltage vector for current control is located,and reduces the number of calculations of sub-optimal voltage vectors from six to two.In addition,Luenberger observer is designed to estimate the motor's counter-electromotive force,the phase-locked loop is used to precisely estimate the position and speed information of the rotor of the permanent magnet synchronous motor,effectively solving some of the drawbacks brought about by mechanical sensors.Finally,the experimental platform is set up and compared with the conventional limited set model predictive control.The experimental results show that the control strategy proposed has better steady state performance and control accuracy.关键词
永磁同步电机/双矢量/模型预测控制/龙伯格观测器/无位置传感器/锁相环Key words
permanent magnet synchronous motor/double vector/model predictive control/Luenberger observer/no position sensor/phase-locked loop分类
信息技术与安全科学引用本文复制引用
王秀平,蔡旭,曲春雨,董志鹏,李岩..基于龙伯格观测器的PMSM双矢量模型预测控制[J].辽宁工程技术大学学报（自然科学版）,2024,43(4):486-493,8.基金项目
辽宁省教育厅科研项目(LJKZ1085) （LJKZ1085）
沈阳市科技计划项目(22-322-3-23) （22-322-3-23）
