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Closed-Loop Control of Variable Stiffness Actuated Robots via Nonlinear Model Predictive Control

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posted on 2016-03-14, 13:11 authored by A. Zhakatayev, Matteo Rubagotti, H. A. Varol
Variable stiffness actuation has recently attracted great interest in robotics, especially in areas involving a high degree of human-robot interaction. After investigating various design approaches for variable stiffness actuated (VSA) robots, currently the focus is shifting to the control of these systems. Control of VSA robots is challenging due to the intrinsic nonlinearity of their dynamicsdynamics and the need to satisfy constraints on input and state variables. Contrary to the partially open-loop state-of-the-art approaches, in this paper, we present a close-loop control framework for VSA robots leveraging recent increases in computational resources and advances in optimization algorithms. In particular, we generate reference trajectories by means of open-loop optimal control, and track these trajectories via nonlinear model predictive control in a closed-loop manner. In order to show the advantages of our proposed scheme with respect to the previous (partially open-loop) ones, extensive simulation and real-world experiments were conducted using a two link planar manipulator for a ball throwing task. The results of these experiments indicate that the closed-loop scheme outperforms the partially open loop one due to its ability to compensate for model uncertainties and external disturbances, while satisfying the imposed constraints.

History

Citation

IEEE Access, 2015, 3, pp. 235-248

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Engineering

Version

  • VoR (Version of Record)

Published in

IEEE Access

Publisher

Institute of Electrical and Electronics Engineers (IEEE), United States

issn

2169-3536

Acceptance date

2015-03-22

Copyright date

2015

Available date

2016-03-14

Publisher version

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7073614

Language

en

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