电机与控制应用2024，Vol.51Issue(8)：20-29,10.DOI:10.12177/emca.2024.069
基于EKF的IPMSM无位置传感器控制估计误差补偿方法
Estimation Error Compensation Method for Sensorless Control of Interior Permanent Magnet Synchronous Motors Based on Extended Kalman Filter
摘要
Abstract
In the sensorless control system for interior permanent magnet synchronous motor based on the extended Kalman filter(EKF)approach,accurate estimation of motor speed and rotor position is important.To address the issue of decreased estimation accuracy for speed and rotor position due to phase current gain errors,a method for compensating position estimation errors is proposed.Firstly,through theoretical derivation,it is shown that phase current gain errors can cause estimated speed and rotor position to oscillate at twice the supply frequency during the EKF estimation process.Secondly,a novel structure for the EKF observer is designed by adding a gain error coefficient solving section to the traditional EKF observer,which reduces the pulsations in estimated speed and rotor position caused by phase current gain errors,thereby improving estimation accuracy.Finally,simulations and experiments validate the feasibility of the proposed compensation method.关键词
扩展卡尔曼滤波/内置式永磁同步电机/无位置传感器控制策略/增益误差Key words
extended Kalman filter/interior permanent magnet synchronous motor/sensorless control strategy/gain error分类
信息技术与安全科学引用本文复制引用
时隋翔,刘瀚文,王玉彬..基于EKF的IPMSM无位置传感器控制估计误差补偿方法[J].电机与控制应用,2024,51(8):20-29,10.基金项目
国家自然科学基金重点资助项目(52130706)Key Program of the National Natural Science Foundation of China(52130706) （52130706）
