永磁直线同步电动机的改进型迭代学习控制  

Improved Iterative Learning Method for Permanent Magnet Linear Synchronous Motor Control

作　　者：朱骁[1] 党选举[1] 徐小平[1] 

机构地区：[1]桂林电子科技大学电子工程与自动化学院,广西桂林541004

出　　处：《电气传动》2012年第10期54-58,共5页Electric Drive

基　　金：国家自然科学基金项目(60964001);广西重点自然科学基金(桂科自0991019Z);广西信息与通讯重点实验室基金项目(10902)

摘　　要：针对永磁直线同步电动机在跟踪过程中出现的诸多非线性因素,提出一种改进型的迭代学习控制算法,该算法将迭代控制律看成时间轴与迭代轴的叠加,通过在时间轴中引入一个初始控制量和一个自适应因子,增加了新的信息,实现了永磁直线电机的快速跟踪控制。给出了控制算法收敛性与收敛速度优越性的证明。仿真结果表明,在此种方法下永磁直线同步电动机跟踪速度和跟踪精度较传统的迭代学习控制算法有了较大的提高。For many nonlinear factors which appears in the tracking system of permanent magnet linear synchronous motor, an improved iterative learning control algorithm was proposed, the iteration control law is regarded as the superposition of time axis and iterative axis, in which an initial control quantity and an adaptive factor in iterative axis are introduced so that it increases the new information and realizes the fast position tracking performance of the control system. The proofs of the convergence of control algorithm and the superi- ority of convergence speed were given. Simulation results show that the improved iterative learning control in tracking speed and tracking precision is better than the traditional iterative learning control.

关 键 词：迭代学习控制 永磁直线同步电动机 自适应因子 收敛条件 收敛速度 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]