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迭代学习控制在大惯性系统中的应用 被引量:1

A Application of Iterative Learning Control for the Big Inertia System
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摘要 迭代学习控制是应用在具有重复运动特点的系统中,并有良好的跟踪效果的控制方法。本文针对转台控制系统中的大惯性环节,运用开环P型迭代学习控制,仿真证明该学习控制律的有效性。并证明学习控制律的收敛条件。 Iterative learning control is an effective method to improve tracking performance of the process which runs repetitively.We are interested in applying P- type iterative learning control for the big inertia tache in the turning platform control system,via simulat- ed figure,proving the validity of themethod .Also proving the convergence of the mothod.
出处 《微计算机信息》 北大核心 2007年第19期250-251,194,共3页 Control & Automation
基金 甘肃省科技攻关项目(RG5035-A52-007-02)
关键词 迭代学习控制 开环P型 收敛性 仿真 iterative learning control, opened- loop P- type, convergence, simulationn
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