Iterative Learning Control for a Rotary Flexible Joint Experiment

D. Sendrescu, Gheorghe Bujgoi
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引用次数: 1

Abstract

This paper deals with the Iterative Learning Control (ILC) of a Flexible Joint Experiment. The paper presents a short overview of the field of Iterative Learning Control and some basic ILC strategies (P – type and D – type) are highlighted. The design of ILC for linear systems is briefly presented. The ILC is implemented on a Flexible Joint experiment, working in repetitive manner, where the control goal is the trajectory tracking. Even the Flexible Joint is a nonlinear system, in order to tune the controller parameters a linear model is derived. The controller performances are evaluated using a real plant experiment. The main experimental results are presented and the performance of the control system is analyzed.
旋转柔性关节实验的迭代学习控制
研究了柔性联合实验的迭代学习控制问题。本文简要介绍了迭代学习控制领域的概况,重点介绍了几种基本的ILC策略(P型和D型)。简要介绍了线性系统的ILC设计。在一个以轨迹跟踪为控制目标的柔性关节实验中,以重复工作的方式实现了ILC。由于柔性关节是一个非线性系统,为了对控制器参数进行整定,需要建立线性模型。通过实际植物实验对控制器的性能进行了评价。给出了主要实验结果,并对控制系统的性能进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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