Adaptive Iterative Learning Control of Hybrid Drive Cable Parallel Manipulator

Dynamics modeling and trajectory tracking control of a novel hybrid drive cable parallel manipulator (HDCPM) which has the advantages of both cable parallel mechanism and hybrid drive mechanism are investigated. A dynamics model for a HDCPM is established by using Lagrange method. For a HDCPM system...

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Main Authors: Jianbin Cao, Mingsheng Wei, Haixiao Zhao
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2022-05-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.05.006
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author Jianbin Cao
Mingsheng Wei
Haixiao Zhao
author_facet Jianbin Cao
Mingsheng Wei
Haixiao Zhao
author_sort Jianbin Cao
collection DOAJ
description Dynamics modeling and trajectory tracking control of a novel hybrid drive cable parallel manipulator (HDCPM) which has the advantages of both cable parallel mechanism and hybrid drive mechanism are investigated. A dynamics model for a HDCPM is established by using Lagrange method. For a HDCPM system with nonlinear, time-varying characteristics and repetitive time-varying disturbance, an adaptive iterative learning control strategy, which controls gain variations with the iterations, is designed. By means of Lyapunvo function, the stability of the controller is proved. The numerical simulation results indicate that an expect trajectory tracking of the HDCPM is achieved by the adaptive iterative learning controller, which illustrates the correctness of the built dynamic model and the validity of proposed control strategy.
format Article
id doaj-art-fe294b9d13ec46b5800a3a3468ab3625
institution Kabale University
issn 1004-2539
language zho
publishDate 2022-05-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-fe294b9d13ec46b5800a3a3468ab36252025-01-10T13:58:08ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392022-05-0146424730479891Adaptive Iterative Learning Control of Hybrid Drive Cable Parallel ManipulatorJianbin CaoMingsheng WeiHaixiao ZhaoDynamics modeling and trajectory tracking control of a novel hybrid drive cable parallel manipulator (HDCPM) which has the advantages of both cable parallel mechanism and hybrid drive mechanism are investigated. A dynamics model for a HDCPM is established by using Lagrange method. For a HDCPM system with nonlinear, time-varying characteristics and repetitive time-varying disturbance, an adaptive iterative learning control strategy, which controls gain variations with the iterations, is designed. By means of Lyapunvo function, the stability of the controller is proved. The numerical simulation results indicate that an expect trajectory tracking of the HDCPM is achieved by the adaptive iterative learning controller, which illustrates the correctness of the built dynamic model and the validity of proposed control strategy.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.05.006Hybrid drive cable parallel manipulatorDynamic modelTrajectory trackingAdaptive iterative learning control
spellingShingle Jianbin Cao
Mingsheng Wei
Haixiao Zhao
Adaptive Iterative Learning Control of Hybrid Drive Cable Parallel Manipulator
Jixie chuandong
Hybrid drive cable parallel manipulator
Dynamic model
Trajectory tracking
Adaptive iterative learning control
title Adaptive Iterative Learning Control of Hybrid Drive Cable Parallel Manipulator
title_full Adaptive Iterative Learning Control of Hybrid Drive Cable Parallel Manipulator
title_fullStr Adaptive Iterative Learning Control of Hybrid Drive Cable Parallel Manipulator
title_full_unstemmed Adaptive Iterative Learning Control of Hybrid Drive Cable Parallel Manipulator
title_short Adaptive Iterative Learning Control of Hybrid Drive Cable Parallel Manipulator
title_sort adaptive iterative learning control of hybrid drive cable parallel manipulator
topic Hybrid drive cable parallel manipulator
Dynamic model
Trajectory tracking
Adaptive iterative learning control
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.05.006
work_keys_str_mv AT jianbincao adaptiveiterativelearningcontrolofhybriddrivecableparallelmanipulator
AT mingshengwei adaptiveiterativelearningcontrolofhybriddrivecableparallelmanipulator
AT haixiaozhao adaptiveiterativelearningcontrolofhybriddrivecableparallelmanipulator