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Experimental fuzzy visual control for trajectory tracking of a Khepera II mobile robot

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3 Author(s)
Guechi, E.-H. ; HANDIBIO EA4322, Univ. du Sud-Toulon-Var (IUT), Toulon, France ; Abellard, A. ; Franceschi, M.

This paper presents an architecture for the trajectory tracking of a Khepera II wheeled mobile robot in a certain environment, which means that the workspace of the robot is supervised by a camera, placed vertically above. The proposed strategy consists of computing the position of the robot in real time using a vision algorithm. Then the technique for tracking-error model-based Parallel Distributed Compensation (PDC) control for non-holonomic vehicles is used. Briefly, this technique consists of rewriting the kinematic error model of the mobile robot tracking problem into a Takagi-Sugeno (TS) fuzzy representation and finding a stabilizing controller by solving Linear Matrix Inequalities (LMI) conditions for the tracking-error. The effectiveness, perfect trajectory tracking and real time properties are shown by experimental results.

Published in:

Industrial Technology (ICIT), 2012 IEEE International Conference on

Date of Conference:

19-21 March 2012