电工技术学报2018,Vol.33Issue(12):2685-2694,10.DOI:10.19595/j.cnki.1000-6753.tces.180383
基于低阶串行双扩展卡尔曼滤波的永磁直线同步电机无速度传感器控制策略
A Speed Sensorless Control Strategy for a Permanent Magnet Linear Synchronous Motor Based on Low-Order Serial Dual Extended Kalman Filters
孙兴法 1聂子玲 1朱俊杰 1韩一 1孙军2
作者信息
- 1. 海军工程大学舰船综合电力技术国防科技重点实验室 武汉 430033
- 2. 海军工程大学电气工程学院 武汉 430033
- 折叠
摘要
Abstract
In this paper, based on the mathematical model of the three-phase permanent magnet linear synchronous motor (PMLSM) in the synchronous rotating coordinate system, the three-order state equation of the system was derived, and the rotor speed estimation based on the extended Kalman filter (EKF) was realized, firstly. Then, the calculation process of the traditional EKF showed that the real-time linear Taylor approximation was completed at the best state estimation of the last period, with a certain delay. Accordingly, the low-order serial dual extended Kalman filters (LSDEKFs) algorithm was proposed, which consisted of two low-order EKFs operating in series. The Taylor approximation was realized at the best estimation of the current cycle to improve the accuracy of state estimation. Finally, the simulation and experimental results show that the speed sensorless control strategy based on LSDEKFs has higher accuracy in speed estimation compared with the conventional EKF.关键词
永磁直线同步电机/无速度传感器/低阶串行双扩展卡尔曼滤波器/状态估计/方均误差Key words
Permanent magnet linear synchronous motor/speed sensorless/low-order serial dual extended Kalman filters/state estimation/mean square error分类
信息技术与安全科学引用本文复制引用
孙兴法,聂子玲,朱俊杰,韩一,孙军..基于低阶串行双扩展卡尔曼滤波的永磁直线同步电机无速度传感器控制策略[J].电工技术学报,2018,33(12):2685-2694,10.