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A Time optimal path planning for trajectory tracking of wheeled mobile robots

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Języki publikacji
EN
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EN
Avariety of approaches for trajectory tracking control of wheeled mobile robots have been implemented. This paper presents a model for a time optimal motion control based on fuzzy logic algorithm for a three wheeled nonholonomic mobile robot with desired function. Simplified kinematic equations of a differentially driven robot are designed to follow the path with evaluated linear and angular velocities. Here, the proposed kinematic model is based on a simple geometric approach for getting the desired position and orientation. The speeds are varied depending on the variations in the path and on the posture of the robot. The robot is subjected to move in a constrained workspace. The control architecture was developed based on fuzzy logic algorithm to obtain time optimal motion control of robot trajectory tracking. The kinematic model was done on Matlab software environment and profound impact on the ability of the nonholonomic mobile robot to track the path was evaluated.
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Bibliografia
  • [1] S.V. Sreenivasan, P. Nanua, “Kinematic geometry of wheeled vehicle systems”, ASME Journal of Mechanical Design , vol. 121, March 1999, pp. 50-56.
  • [2] B. D'Andrea Novel, G. Bastin, G. Campion, “Control of nonholonomic wheeled mobile robots by state feedback linearization”, Int. Journal of Robotics Research , vol. 14, no. 6, 1995, pp. 543-559.
  • [3] F.C. Vieira, A.D. Adelardo, A.D Medeiros, Pablo J. Alsina, “Dynamic stabilization of a two wheeled differentially driven nonholonomic mobile robot”, SBAI 2003, Bauru, Brazil, no. 09, 2003, pp. 620-624.
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  • [5] K. Kozlowski, D. Pazderski, “Modelling and control of a 4-wheel skid steering mobile robot”, International Journal of Applied Mathematics and Computer Science , vol. 14, no. 4, 2004, pp. 477-496.
  • [6] M.-H. Hung, D.E. Orin, “Dynamic simulation of actively coordinated wheeled vehicle systems on uneven terrain”. In: Proceedings of the 2001 IEEE International Conference on Robotics and Automation , 21st -26th May 2001, Seoul, Korea, pp. 779-786.
  • [7] G. Novak, “An example for autonomous mobile cooperating robots”. In: Proceedings of the First workshop on Intelligent Solutions in Embedded Systems , Vienna, Austria, June 2003, pp. 107-118.
  • [8] D.-S. Kim, W.H. Kwon, H.S. Park, “Geometric kinematics and applications of a mobile robot”, Int. Journal of Control, Automation and systems , vol. 1, no. 3, Sept. 2003. pp. 376-384.
  • [9] A. El Hajjaji, S. Bentalba, “Fuzzy path tracking control for automatic steering of vehicles”, Int. Journal of Robotics and Autonomous Systems , no. 43, 2003, pp. 203-213.
  • [10] I. Spacapan, J. Kocijan, T. Bajd, “Simulation of fuzzy logic based intelligent wheelchair control system”, Journal of Intelligentt and Robotic Systems , no. 39, 2004, pp. 227-241.
  • [11] Ch.-Ch. Wong, H.-Y. Wang, S.-A. Li, C.-T. Cheng, “Fuzzy Controller Designed by GA for Two-wheeled Mobile Robots”, International Journal of Fuzzy Systems, vol. 9, no. 1, March 2007. pp. 22-30.
  • [12] R. Choomuang, N. Afzulpurkar, “Hybrid Kalman Filter/ Fuzzy Logic based Position Control of Autonomous Mobile Robot”, International Journal of Advanced Robotic Systems , vol. 2, no. 3, 2005, pp. 197-208.
  • [13] F.M. Raimondi, M. Melluso, “A new fuzzy robust dynamic controller for autonomous vehicles with nonholonomic constraints”, Int. Journal of Robotics and Autonomous Systems , no. 52, 2005, pp. 115-131.
  • [14] B. Ibraheem Kazem, A.I. Mahdi, Ali Talib Oudah, “Motion Planning for a Robot Arm by Using Genetic Algorithm”, Jordan Journal of Mechanical and Industrial Engineering , vol. 2, no. 3, Sept. 2008, pp. 131-136.
  • [15] C. K. Loo, M. Rajeswari, E.K. Wongi, M.V.C. Rao, “Mobile robot path planning using hybrid genetic algorithm and traversability vectors method”, Intelligent Automation and Soft Computing , vol. 10, no. 1, 2004, pp. 51-64.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ8-0006-0004
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