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Distributed control of modular and reconfigurable robot with torque sensing

Published online by Cambridge University Press:  01 January 2008

Guangjun Liu,
Sajan Abdul and
Andrew A. Goldenberg
Guangjun Liu*
Affiliation:
Department of Aerospace Engineering, Ryerson University, Canada.
Sajan Abdul
Affiliation:
Department of Aerospace Engineering, Ryerson University, Canada.
Andrew A. Goldenberg
Affiliation:
Department of Mechanical and Industrial Engineering, University of Toronto, Canada.
*
*Corresponding author. E-mail: gjliu@ryerson.ca.
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Summary

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A major technical challenge in controlling modular and reconfigurable robots is associated with the kinematics and dynamic model uncertainties caused by reconfiguration. In parallel, conventional model uncertainties such as uncompensated joint friction still persist. This paper presents a modular distributed control technique for modular and reconfigurable robots that can instantly adapt to robot reconfigurations. Under the proposed control method that is based on joint torque sensing, a modular and reconfigurable robot is stabilized joint by joint, and modules can be added or removed without the need to adjust control parameters of the other modules of the robot. Model uncertainties associated with link and payload masses are compensated using joint torque sensor measurement. The remaining model uncertainties, including uncompensated dynamic coupling and joint friction, are compensated by a decomposition-based robust controller. Simulation results have confirmed the effectiveness of the proposed method.

Keywords

Decomposition-based controlRobust controlModular and reconfigurable robotFriction compensationJoint torque sensing

Information

Type
Article
Information
Robotica , Volume 26 , Issue 1 , January 2008, pp. 75 - 84
Copyright
Copyright © Cambridge University Press 2007

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