永磁直线同步电机的自适应迭代学习控制  

Adaptive and Iterative Learning Control of PMLSM

作　　者：蔡满军[1] 赵成圆 

机构地区：[1]燕山大学,秦皇岛066004

出　　处：《微特电机》2014年第6期48-51,54,共5页Small & Special Electrical Machines

基　　金：国家自然科学基金项目(20577038);河北省科技计划项目(10213944)

摘　　要：永磁直线同步电机驱动的伺服随动系统,既要对周期性的输入信号具有跟踪能力,又要对周期性的扰动具有抑制能力。对这一问题,从迭代学习控制的本质出发,与自适应算法相结合,提出了一种自适应迭代学习控制策略,解决了伺服系统中对周期性输入信号的跟踪问题,以及对参数摄动和不确定性干扰,尤其是对周期性扰动的抑制问题。在永磁直线同步电机位置控制实验中,将该方法与传统控制进行对比试验,实验结果表明,该方法能够有效地提高系统的位置控制精度。For the servo system of permanent magnet linear synchronous motor generally has tracking ability of a periodic trajectory and rejection ability of a periodic disturbance,according to iterative learning control,an adaptive control combined with iterative learning control was proposed to handle the effect of parametric uncertainties,unknown nonlinearities and external disturbances,especially the effect caused by a periodic disturbance.Further more,the proposed strategy was compared with the traditional control through the actual experiment of PMLSM.The real time result shows that position precision of PMLSM can be effectively improved with this scheme.

关 键 词：永磁直线同步电机 自适应控制 迭代学习控制 周期信号 跟踪误差 

分 类 号：TM351[电气工程—电机] TM359.4