Multi-agent system inspired distributed control of a serial-link robot

• Autorzy: Soumya S. , Guruprasad K. R.

Identyfikatory

DOI

10.14313/JAMRIS/1-2020/4

• Języki publikacji: EN

Abstrakty

EN

Inspired by the multi-agent systems, we propose a model-based distributed control architecture for robotic manipulators. Here, each of the joints of the manipulator is controlled using a joint level controller and these controllers account for the dynamic coupling between the links by interacting among themselves. Apart from the reduced computational time due to distributed computation of the control law at the joint levels, the knowledge of dynamics is fully utilized in the proposed control scheme, unlike the decentralized control schemes proposed in the literature. While the proposed distributed control architecture is useful for a general serial-link manipulator, in this paper, we focus on planar manipulators with revolute joints. We provide a simple model-based distributed control scheme as an illustration of the proposed distributed model-based control architecture. Based on this scheme, distributed model-based controller has been designed for a planar 3R manipulator and simulations results are presented to demonstrate that the manipulator successfully tracks the desired trajectory.

Słowa kluczowe

EN

model-based control; distributed control; manipulator control

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2020
• Tom: Vol. 14, No. 1
• Strony: 29--38
• Opis fizyczny: Bibliogr. 28 poz., rys.

Twórcy

autor

Soumya S.

• – Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal, Karnataka, India

autor

Guruprasad K. R.

• Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, India

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).