Skip to main navigation Skip to search Skip to main content

Iterative learning control for a timoshenko beam with input backlash

  • Tingting Meng
  • , Wei He
  • , Deqing Huang
  • , Lung Jieh Yang
  • , Changyin Sun
  • University of Electronic Science and Technology of China
  • University of Science and Technology Beijing
  • Southwest Jiaotong University
  • Tamkang University
  • Southeast University, Nanjing

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, vibration control is addressed for a Timoshenko beam system with input backlash and external disturbances. By integrating iterative learning control into adaptive control, two dual-loop adaptive iterative learning control schemes are proposed in the presence of the input backlash. Two observers are designed to estimate two bounded terms, which are divided from the backlash inputs. Based on the defined composite energy function, all the signals are proved to be bounded in each iteration. Along the iteration axis, (I) the input backlash is tackled; (II) the transverse displacements and the angle displacements are suppressed to zero; and (III) the spatiotemporally varying disturbance and the time-varying disturbance are rejected. Simulations are provided to manifest the effectiveness of the proposed control laws.

Original languageEnglish
Title of host publicationProceedings of 2017 IEEE 6th Data Driven Control and Learning Systems Conference, DDCLS 2017
EditorsMingxuan Sun, Huijun Gao
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages112-116
Number of pages5
ISBN (Electronic)9781509054619
DOIs
StatePublished - 13 Oct 2017
Externally publishedYes
Event6th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2017 - Chongqing, China
Duration: 26 May 201727 May 2017

Publication series

NameProceedings of 2017 IEEE 6th Data Driven Control and Learning Systems Conference, DDCLS 2017

Conference

Conference6th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2017
Country/TerritoryChina
CityChongqing
Period26/05/1727/05/17

Keywords

  • Adaptive Control
  • Distributed Parameter System
  • Disturbance Rejection
  • Input Backlash
  • Iterative Learning Control
  • Vibration Control

Fingerprint

Dive into the research topics of 'Iterative learning control for a timoshenko beam with input backlash'. Together they form a unique fingerprint.

Cite this