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一种改进的迭代学习控制方法及其应用
引用本文:刘双战,张福兴,吴建刚. 一种改进的迭代学习控制方法及其应用[J]. 战术导弹技术, 2011, 0(6): 98-102
作者姓名:刘双战  张福兴  吴建刚
作者单位:海军驻北京地区舰空导弹系统军事代表室;海军驻武汉三江航天集团军事代表室;
摘    要:针对非线性系统的学习控制问题,提出了一种改进的迭代学习控制方法.该迭代学习控制方法同时利用系统中前次迭代控制的跟踪误差信息与当前的跟踪误差信息,以及它们各自的微分信息,且采用可调的迭代学习系数,根据系统误差的变化及时地调节学习系数,从而提高了目标的跟踪能力.通过分析,给出了此迭代学习控制方法收敛的充分条件.仿真结果验证了此学习控制方法的有效性.

关 键 词:非线性系统  迭代学习控制  收敛性  目标跟踪  数值仿真

An Improved Iterative Learning Control and Its Application
Liu Shuangzhan,Zhang Fuxing,Wu Jiangang. An Improved Iterative Learning Control and Its Application[J]. Tactical Missile Technology, 2011, 0(6): 98-102
Authors:Liu Shuangzhan  Zhang Fuxing  Wu Jiangang
Affiliation:Liu Shuangzhan1,Zhang Fuxing1,Wu Jiangang2(1.Military Representative Office of Navy in The Second Research Academy,CASIC,Beijing 100854,China,2.Military Representative Office of Navy in Sanjiang Aerospace Corp.,Wuhan 432100,China)
Abstract:An improved iterative learning control(ILC) method for nonlinear system is proposed.In this new algorithm,the system's current tracking error,previous tracking error and their differential signals are all used to update the control law.Moreover,the control law uses adjustable learning parameters,which can be regulated according to the system's errors.Therefore,the capability of the target tracking is improved greatly.The sufficient condition for the convergence of the proposed iterative learning algorithms ...
Keywords:nonlinear system  iterative learning control  convergence  target tracking  numerical simulation  
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