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Adaptive trajectory control of off-road mobile robots: A multi-model observer approach

Abstract : In this paper, the problems associated with accurate path tracking control in off-road conditions is addressed with model-based adaptive control. In particular, the estimation of grip conditions is investigated through the derivation of a new observer and by gathering kinematic and dynamic models into a single framework. This new reference point employs a unique observer regardless of the velocity of the robots. Previous approaches necessitated the switching of models depending upon the phenomena encountered as well as robot dynamics. The observer proposed here allows an accurate and reactive estimation of sliding. This permits to feed relevantly a control law based on an extended kinematic model, enabling accurate path tracking, even in harsh conditions and when facing significant dynamic effects such as spin around.
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Submitted on : Saturday, May 16, 2020 - 1:51:52 PM
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Mathieu Deremetz, Roland Lenain, Benoit Thuilot, Vincent Rousseau. Adaptive trajectory control of off-road mobile robots: A multi-model observer approach. IEEE International Conference on Robotics and Automation (ICRA), May 2017, Singapour, Singapore. pp.4407 -- 4413, ⟨10.1109/ICRA.2017.7989509⟩. ⟨hal-01658523⟩



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