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Motion Control Of A Ball Throwing Robot With A Flexible Robotic Arm

Authors: Yizhi Gai; Yukinori Kobayashi; Yohei Hoshino; Takanori Emaru;

Motion Control Of A Ball Throwing Robot With A Flexible Robotic Arm

Abstract

{"references": ["", "W. Mori, J. Ueda and T. Ogasawara, \"A 1-dof dynamics pitching robot\nthat independently controls velocity, angular velocity and direction of a\nball\", Advanced Robotics, pp. 921-942, 2012.", "Y. Hoshino and Y. Kobayashi, \"Shock and vibration control of a\ngolf-swing robot at impacting the ball\", Journal of System Design and\nDynamics, vol. 2, no. 5.", "R. C. Eberhart and Y. Shi, Computing Intelligence. Morgan Kaufmann\nPublishers, 2007.", "Y. Gai, Y. Kobayashi, R. Yamakawa, Y. Hoshino and T. Emaru, \"Motion\ncontrol of a flexible robotic arm by utilizing its dynamics\", Asia-Pacific\nVibration Conference, vol. 4, pp.1971-1979, 2011.", "M. I. Solihin, W. Akmeliawati and R. Akmeliawati, \"PSO-based\noptimization of state feedback tracking controller for a flexible link\nmanipulator\",International Conference of Soft Computing and Pattern\nRecognition, pp. 72-76, 2009.", "A. Shayeghi, H. Shayeghi and H. E. Kalasar, \"Application of PSO\ntechnique for seismic control of tall building\", World Academy of Science,\nEngineering and Technology, pp. 851-858, 2009.", "Nadia Nedjah, Leandro dos Santos Coelho and Luiza de Macedo de\nMourelle, Multi-Objective Swarm Intelligent Systems. Springer, 2009.", "K. E. Parsopoulos and M. N. Vrahatis, Particle Swarm Optimization and\nIntelligence: Advances and Applications. Information Science Reference,\n2009.", "J. G. Vlachogiannis and K. Y. Lee, \"Multi-objective based on parallel\nvector evaluated particle swarm optimization for optimal steady-state\nperformance of power systems\", Expert Systems with Applications, pp.\n10802-10808, 2009.\n[10] S. N. Omkar, D. Mudigere, G. N. Naik and S. Gopalakrishnan, \"Vector\nevaluated particle swarm optimization (VEPSO) for multi-objective\ndesign optimization of composite structures\", Computers and Structures,\npp. 1-14, 2008.\n[11] H. Jiang, C. K. Kwong, Z. Chen and Y. C. Ysim, \"Chaos particle swarm\noptimization and T-S fuzzy modeling approaches to constrained\npredictive control\", Expert Systems with Applications, pp. 194-201, 2012.\n[12] B. Alatas, E. Akin and A. B. Ozer, \"Chaos embedded particle swarm\noptimization algorithms\", Chaos, Solitons and Fractals, pp. 1715-1734,\n2009.\n[13] W.Singhose and W. Seering, Command Generation for Dynamics\nSystems. Georgia Institute of Technology, 2011, pp. 33-54."]}

Motion control of flexible arms is more difficult than that of rigid arms, however utilizing its dynamics enables improved performance such as a fast motion in short operation time. This paper investigates a ball throwing robot with one rigid link and one flexible link. This robot throws a ball at a set speed with a proper control torque. A mathematical model of this ball throwing robot is derived through Hamilton’s principle. Several patterns of torque input are designed and tested through the proposed simulation models. The parameters of each torque input pattern is optimized and determined by chaos embedded vector evaluated particle swarm optimization (CEVEPSO). Then, the residual vibration of the manipulator after throwing is suppressed with input shaping technique. Finally, a real experiment is set up for the model checking.

Keywords

Motion control, flexible robotic arm, CEVEPSO, ball throwing robot.

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