|本期目录/Table of Contents|

[1]张宏伟,余发山,卜旭辉,等.基于鲁棒迭代学习的永磁直线电机控制[J].电机与控制学报,2012,(06):81-86.
 ZHANG Hong-wei,YU Fa-shan,BU Xu-hui,et al.Robust iterative learning control for permanent magnet linear motor[J].,2012,(06):81-86.
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基于鲁棒迭代学习的永磁直线电机控制(PDF)
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
期数:
2012年06
页码:
81-86
栏目:
出版日期:
2012-11-20

文章信息/Info

Title:
Robust iterative learning control for permanent magnet linear motor
作者:
张宏伟; 余发山; 卜旭辉; 王福忠;
河南理工大学电气工程与自动化学院;
Author(s):
ZHANG Hong-weiYU Fa-shanBU Xu-huiWANG Fu-zhong
School of Electrical Engineering & Automation,Henan Polytechnic University,Jiaozuo 454000,China
关键词:
迭代学习控制 直线电机 鲁棒算法 扰动抑制
Keywords:
iterative learning control linear motors robust algorithm disturbance attenuation
分类号:
TP273;TM359.4
DOI:
-
文献标志码:
A
摘要:
针对永磁直线电机速度和位置迭代学习跟踪控制中,由测量扰动引起的跟踪误差有界收敛问题,提出一种带有衰减因子的鲁棒迭代学习控制算法。采用λ范数方法分析鲁棒迭代学习控制算法的收敛性,理论结果表明,鲁棒迭代学习控制算法可以保证跟踪误差收敛到零,而P型迭代学习控制算法仅保证直线电机速度和位置的跟踪误差收敛到一个与扰动信号上界有关的域内。仿真结果表明,所提出的鲁棒迭代学习控制算法可以有效抑制测量扰动,获得较好的跟踪性能。带有衰减因子的迭代学习控制方法是一种抑制非重复测量扰动的有效方法。
Abstract:
When the measurement contains disturbance,the tracking error of iterative learning control for the speed and position tracking control of Permanent Magnet Linear Motor is bounded convergence.To suppress disturbance,a robust iterative learning control algorithm with a decreasing gain was proposed.The convergence analysis was given using λ norm.Theoretical analysis indicated that the P-type iterative learning control algorithm guaranteed the tracking error converges to a bound depending on the dis...

参考文献/References:

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备注/Memo

备注/Memo:
国家自然科学基金(61074095);河南省科技计划项目(94300510015);河南省高等学校控制工程重点学科开放实验室项目(KG2011-10);河南理工大学博士基金(689476)
更新日期/Last Update: 2012-11-09