Consensus Control for Networked Manipulators With Switched Parameters and Topologies

To solve abruptly occurrence of parameters jumping and directed communication topologies changing in the control process of networked manipulators, in this paper, distributed switched consensus control algorithms are formulated for a group of robot manipulators in realizing cooperative consensus per...

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Main Authors: Lixia Liu, Bin Li, Rongwei Guo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9313989/
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author Lixia Liu
Bin Li
Rongwei Guo
author_facet Lixia Liu
Bin Li
Rongwei Guo
author_sort Lixia Liu
collection DOAJ
description To solve abruptly occurrence of parameters jumping and directed communication topologies changing in the control process of networked manipulators, in this paper, distributed switched consensus control algorithms are formulated for a group of robot manipulators in realizing cooperative consensus performance. In fact, networked Lagrange systems are modeled as switched systems regarding the different parameters and topologies. Namely, the dynamic models switch when the system parameters or the topology structures change. The consensus control strategy is constructed by resorting to (improved) average dwell time (ADT) method and sliding-mode control technique, and a unified analysis methodology is developed to perform the convergence analysis for the closed-loop system by Lyapunov stable theory. The main contribution of this paper is the development of a systematically adaptive consensus algorithm by simultaneously considering shifting parameters and switching communication network (as two unavoidable key factors) in the process of communication interaction among robots. A distinctive feature of the developed consensus protocol is to introduce the directed network topology characterizing the local communication interaction among robots, which is especially suitable for representing the the structures and features of the realistic cooperative multi-robotic systems. Accordingly, the developed consensus tracking strategy for manipulators possess prominent advantages including robustness,stability and effectiveness over the existing concentrated on single robot counterparts. Finally, numerical simulations of two-link manipulators are performed to illustrate the effectiveness of the obtained control algorithm.
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spelling doaj.art-c1654418d41f4525817a607c7d91b6952022-12-21T19:52:57ZengIEEEIEEE Access2169-35362021-01-0199209921710.1109/ACCESS.2021.30492619313989Consensus Control for Networked Manipulators With Switched Parameters and TopologiesLixia Liu0https://orcid.org/0000-0001-6132-4461Bin Li1https://orcid.org/0000-0002-4028-0938Rongwei Guo2https://orcid.org/0000-0001-8836-0964School of Mathematics and Statistics, Shandong Academy of Sciences, Qilu University of Technology, Jinan, ChinaSchool of Mathematics and Statistics, Shandong Academy of Sciences, Qilu University of Technology, Jinan, ChinaSchool of Mathematics and Statistics, Shandong Academy of Sciences, Qilu University of Technology, Jinan, ChinaTo solve abruptly occurrence of parameters jumping and directed communication topologies changing in the control process of networked manipulators, in this paper, distributed switched consensus control algorithms are formulated for a group of robot manipulators in realizing cooperative consensus performance. In fact, networked Lagrange systems are modeled as switched systems regarding the different parameters and topologies. Namely, the dynamic models switch when the system parameters or the topology structures change. The consensus control strategy is constructed by resorting to (improved) average dwell time (ADT) method and sliding-mode control technique, and a unified analysis methodology is developed to perform the convergence analysis for the closed-loop system by Lyapunov stable theory. The main contribution of this paper is the development of a systematically adaptive consensus algorithm by simultaneously considering shifting parameters and switching communication network (as two unavoidable key factors) in the process of communication interaction among robots. A distinctive feature of the developed consensus protocol is to introduce the directed network topology characterizing the local communication interaction among robots, which is especially suitable for representing the the structures and features of the realistic cooperative multi-robotic systems. Accordingly, the developed consensus tracking strategy for manipulators possess prominent advantages including robustness,stability and effectiveness over the existing concentrated on single robot counterparts. Finally, numerical simulations of two-link manipulators are performed to illustrate the effectiveness of the obtained control algorithm.https://ieeexplore.ieee.org/document/9313989/Networked manipulatorsswitching controlparameters jumpcommunication topologies changecooperative consensus(improved) average dwell time method
spellingShingle Lixia Liu
Bin Li
Rongwei Guo
Consensus Control for Networked Manipulators With Switched Parameters and Topologies
IEEE Access
Networked manipulators
switching control
parameters jump
communication topologies change
cooperative consensus
(improved) average dwell time method
title Consensus Control for Networked Manipulators With Switched Parameters and Topologies
title_full Consensus Control for Networked Manipulators With Switched Parameters and Topologies
title_fullStr Consensus Control for Networked Manipulators With Switched Parameters and Topologies
title_full_unstemmed Consensus Control for Networked Manipulators With Switched Parameters and Topologies
title_short Consensus Control for Networked Manipulators With Switched Parameters and Topologies
title_sort consensus control for networked manipulators with switched parameters and topologies
topic Networked manipulators
switching control
parameters jump
communication topologies change
cooperative consensus
(improved) average dwell time method
url https://ieeexplore.ieee.org/document/9313989/
work_keys_str_mv AT lixialiu consensuscontrolfornetworkedmanipulatorswithswitchedparametersandtopologies
AT binli consensuscontrolfornetworkedmanipulatorswithswitchedparametersandtopologies
AT rongweiguo consensuscontrolfornetworkedmanipulatorswithswitchedparametersandtopologies