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Planification de trajectoire et commande pour les robots mobiles non-holonomes

Yingchong Ma 1, 2 
2 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : This PhD thesis is dedicated to the path planning and control strategy for non-holonomic mobile robots. After a review of the recent researches and their features, new path planning algorithms and control strategies are proposed. Firstly, the identification of different mobile robot kinematic models is discussed, robot kinematic models are formulated as a switched singular nonlinear system, and the problem becomes the real-time identification of the switching signal. Secondly, based on the identified model, a local path planning algorithm is proposed, in which the irregular contour of obstacles is represented by segments. The path planning problem is formulated as a constrained receding horizon planning problem and the trajectory is obtained by solving an optimal control problem with constraints. Thirdly, we apply an i-PID controller to control the non-holonomic mobile robot with measurement disturbance. A switching parameter α is proposed because of the particularity of the non-holonomic system. In addition to our proposed path planning algorithm, another path planning approach using potential field is proposed. The modified potential field function, which takes into account the robot orientation and angular velocity, is able to solve local minima problems and produce smooth forces to avoid oscillations. Finally, a cooperative path planning approach between robots is proposed by using the shared local information of each robot. The visibility graph is used to generate a series of intermediate objectives which will guarantee the robots reaching the final objective, and an algorithm is proposed to expand obstacles and merge obstacles when two obstacles intercross
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Submitted on : Wednesday, April 16, 2014 - 2:00:12 PM
Last modification on : Tuesday, November 22, 2022 - 2:26:15 PM
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  • HAL Id : tel-00979604, version 1



Yingchong Ma. Planification de trajectoire et commande pour les robots mobiles non-holonomes. Autre. Ecole Centrale de Lille, 2013. Français. ⟨NNT : 2013ECLI0025⟩. ⟨tel-00979604⟩



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