A New Feedback-feedforward Configuration for the Iterative Learning Control of a Class of Discrete-time Systems  

作　　者：HOU Zhong-Sheng XU Jian-Xin 

机构地区：[1]Advanced-Control Systems Lab of the School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044 P.R. China [2]Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576

出　　处：《自动化学报》2007年第3期323-326,共4页Acta Automatica Sinica

基　　金：Supported by National Natural Science Foundation of P.R.China(60474038);Science Research Foundation of Beijing Jiaotong University(2005SM005);Specialized Research Fund for the Doctoral Program of Higher Education(20060004002)

摘　　要：这份报纸为反复的学习控制(ILC ) 论述一种新反馈前馈控制配置与反馈设计，它由反馈和一个前馈控制部件组成。反馈积分控制器稳定系统，并且在操作，和前馈控制 ILC 期间起主导的作用补偿可重复的非线性 / 未知的变化时间的动力学和骚乱，从而提高性能独自由反馈控制完成了。作为这控制策略的最有利的点，没有作努力到前馈控制 / 反馈获得的 reconfigurate 或重新调律，前馈控制 ILC 和反馈控制能独立地或联合工作。与严密分析，建议学习控制计划沿着重复轴保证 asymptotic 得到集中。This paper presents a new feedback-feedforward configuration for the iterative learning control （ILG） design with feedback, which consists of a feedback and a feedforward component. The feedback integral controller stabilizes the system, and takes the dominant role during the operation, and the feedforward ILC compensates for the repeatable nonlinear/unknown time-varying dynamics and disturbances, thereby enhancing the performance achieved by feedback control alone. As the most favorable point of this control strategy, the feedforward ILC and the feedback control can work either independently or jointly without making efforts to reconfigurate or retune the feedforward/feedback gains. With rigorous analysis, the proposed learning control scheme guarantees the asymptotic convergences along the iteration axis.

关 键 词：非线性系统 自动化控制 反馈系统 计算机技术 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]