摘要
针对永磁直线同步电动机中存在的周期性扰动问题,提出了一种闭环迭代学习控制算法.该算法通过上次迭代时的输入信息和输出跟踪误差的PID校正项来获得本次迭代的控制输入.基于迭代学习控制思想并结合PID控制,设计出应用于直线电动机运动系统的迭代学习控制器.仿真结果表明,与传统的PID控制相比较,所提出的控制方法能够使系统的跟踪效果更好,且保证了在较少迭代次数下,被控系统的输出轨迹能精确地收敛到期望轨迹.
A close-loop iterative learning control （ILC） algorithm was presented for the periodic disturbance in permanent magnet linear synchronous motor （PMLSM）. The fundamental principle of the present algorithm is to acquire the current iterative input based on the last input signals and PID components of the output tracking error. An iterative learning controller used in linear motor motion systems was designed on the basis of iterative learning algorithm and PID control. The simulation results show that the proposed method has better tracking precision compared with the traditional PID control. The ILC algorithm assures that the output trajectory can precisely track anticipant trajectory with fewer iteration times.
出处
《沈阳工业大学学报》
EI
CAS
2010年第1期6-10,共5页
Journal of Shenyang University of Technology
基金
国家自然科学基金资助项目(50375102)
辽宁省自然科学基金资助项目(20082042)
沈阳市科学技术计划项目(1071202-1-00)
