Back to Search Start Over

Path Tracking of a Two-Wheel Steering Mobile Robot: An Accurate and Robust Multi-Model Off-Road Steering Strategy

Authors :
Mathieu Deremetz
Benoit Thuilot
Roland Lenain
Technologies et systèmes d'information pour les agrosystèmes (UR TSCF)
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
Institut Pascal - Clermont Auvergne (IP)
Sigma CLERMONT (Sigma CLERMONT)-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS)
DUGAT, Pascale
Institut Pascal (IP)
SIGMA Clermont (SIGMA Clermont)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)
Source :
2018 IEEE International Conference on Robotics and Automation (ICRA), 2018 IEEE International Conference on Robotics and Automation (ICRA), May 2018, Brisbane, France. ⟨10.1109/ICRA.2018.8460598⟩, ICRA, IEEE International Conference on Robotics and Automation (ICRA), IEEE International Conference on Robotics and Automation (ICRA), 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA), May 2018, Brisbane, France. pp.3037-3044, ⟨10.1109/icra.2018.8460598⟩
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

[ADD1_IRSTEA]Équiper l'agriculture; International audience; In this paper, the problem associated with accurate control of a two-wheel steering mobile robot following a path is addressed thanks to a backstepping control strategy. This approach involves an observer to estimate the grip conditions, based on previous work, and the proposed control algorithm for the front axle. Since the significant parameters of the grip conditions are available from the observer, namely the sideslip angles and the cornering stiffnesses, it is then suitable to include them into an algorithm to control mobile robots and obtain a more accurate path tracking. This is made possible by gathering into a single backstepping approach both kinematic and dynamic models. This new point of view permits to take account of both kinematic and dynamic behaviors and grip parameters in the control law. The proposed approach is experimentally evaluated at different speeds and compared with two other state-of-the-art path tracking algorithms and evaluated for several values of lateral deviations.

Details

Language :
English
Database :
OpenAIRE
Journal :
2018 IEEE International Conference on Robotics and Automation (ICRA), 2018 IEEE International Conference on Robotics and Automation (ICRA), May 2018, Brisbane, France. ⟨10.1109/ICRA.2018.8460598⟩, ICRA, IEEE International Conference on Robotics and Automation (ICRA), IEEE International Conference on Robotics and Automation (ICRA), 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA), May 2018, Brisbane, France. pp.3037-3044, ⟨10.1109/icra.2018.8460598⟩
Accession number :
edsair.doi.dedup.....1af9b209249b65d9ad77eeb5f4a81387
Full Text :
https://doi.org/10.1109/ICRA.2018.8460598⟩