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Extended Kalman filter-based disturbance feed-forward compensation considering varying mass in high-speed permanent magnet linear synchronous motor

机译:考虑到高速永磁线性同步电动机的不同质量,扩展基于卡尔曼滤波器的扰动前馈补偿

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摘要

A disturbance feed-forward compensation method based on 7th-order extended Kalman filter (EKF) is proposed for permanent magnet linear synchronous motor (PMLSM) servo system which is vulnerable to the influence of external disturbances, such as friction force, force ripple and so on. Firstly, a disturbance model which consists of position-dependent functions was developed and utilized as a disturbance feed-forward compensator. Then, the initial position and the varying mass information of plant were estimated by the 7th-order EKF and reflected to the disturbance feed-forward compensator. In addition, the coefficients of the disturbance model were adjusted adaptively to create synchronization between the model and real disturbance and achieve the purpose of varying mass estimation and disturbance compensation. Finally, the system simulation and experiment results confirm that the proposed method is effective and feasible. The PMLSM servo system based on 7th-order EKF has superior performance in disturbance compensation, and it is not affected by the varying mass of PMLSM.
机译:基于7阶扩展卡尔曼滤波器(EKF)的干扰前馈补偿方法是针对永磁线性同步电动机(PMLSM)伺服系统,易受外部干扰的影响,例如摩擦力,力纹波等在。首先,开发了一种由位置依赖性功能组成的扰动模型,并用作干扰前馈补偿器。然后,通过7阶EKF估计工厂的初始位置和变化质量信息,并反映在干扰前馈补偿器上。另外,自适应地调整干扰模型的系数以在模型和真正干扰之间产生同步,并达到不同质量估计和干扰补偿的目的。最后,系统仿真和实验结果证实,该方法是有效和可行的。基于7阶EKF的PMLSM伺服系统具有卓越的干扰补偿性能,它不受PMLSM的不同质量影响。

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