Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (31): 75-77.DOI: 10.3778/j.issn.1002-8331.2008.31.021

• 理论研究 • Previous Articles     Next Articles

Improved PD-type iterative learning control algorithm for time-invariant systems

LI Xing-yi1,XU Yuan2,WANG Yi1   

  1. 1.School of Electronics and Information Engineering,Beijing Jiaotong University,Beijing 100044,China
    2.School of Computer Science and Telecommunications Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013,China
  • Received:2007-12-03 Revised:2008-02-03 Online:2008-11-01 Published:2008-11-01
  • Contact: LI Xing-yi

改进的时不变系统PD型迭代学习控制算法

李星毅1,绪 远2,王 轶1   

  1. 1.北京交通大学 电子信息工程学院 先进控制系统研究所,北京 100044
    2.江苏大学 计算机科学与通信工程学院,江苏 镇江 212013
  • 通讯作者: 李星毅

Abstract: An improved PD-type iterative learning control algorithm for a class of time-Invariant system is proposed.The improved PD-type iterative learning control algorithm for a class of time-invariant system are uniformly bounded in the note,when the system satisfies the convergence condition.It is shown that the older control vector is replaced with the newer control vector,which can made the actual output trajectory of the system is convergent to the desired trajectory with faster speed.

Key words: iterative learning control, PD-type, λ-norm, uniformly bounded

摘要: 针对时不变线性系统的迭代学习控制问题,提出了一种改进的时不变系统的PD型迭代学习控制算法,理论证明了系统满足收敛条件时的改进算法是收敛的。仿真实例分析表明,改进的算法利用最新算出的控制分量代替旧的控制分量,使系统的实际输出以更快的收敛速度逼近系统的理想输出。

关键词: 迭代学习控制, PD型, λ范数, 一致收敛