Design optimization of 6-RUS parallel manipulator using hybrid algorithm
Автор: Alaa Aldeen Joumah, Chadi Albitar
Журнал: International Journal of Information Technology and Computer Science @ijitcs
Статья в выпуске: 2 Vol. 10, 2018 года.
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In this paper, we present a study on the design optimization of the 6-RUS Stewart platform using a hybrid algorithm. The geometric and kinematic models are calculated. The optimization problem is formulated after determining the design parameters and defining a set of cost functions related to the size of the workspace and to the indices of the kinematic and static performance, which are the global conditioning index (GCI) and the global stiffness index (GSI). We started by studying the relation between the design parameters and the proposed cost functions, and then we invested the genetic algorithm to optimize each cost function separately. Moreover, we adopted a weighted cost function method to solve the Multi-Objective optimization problem. The convergence performance of the genetic algorithm (GA) and the particle swarm optimization (PSO) were compared, where the PSO algorithm showed better performance. Based on this, a hybrid PSO–PS method was proposed and the results are highly competitive as we obtained better general convergence performance.
Stewart platform, RUS, optimization, performance indices, GA, PSO
Короткий адрес: https://sciup.org/15016238
IDR: 15016238 | DOI: 10.5815/ijitcs.2018.02.08
Список литературы Design optimization of 6-RUS parallel manipulator using hybrid algorithm
- R. Stoughton and T. Arai, "A modified Stewart platform manipulator with improved dexterity," Robotics and Automation, IEEE Transactions on, vol. 9, pp. 166-173, 2002.
- H. Z. Jiang, J. F. He, and Z. Z. Tong, "Characteristics analysis of joint space inverse mass matrix for the optimal design of a 6- DOF parallel manipulator," Mechanism and Machine Theory, vol. 45, pp. 722-739, 2010.
- Y. Su, B. Duan, and C. Zheng, "Genetic design of kinematically optimal fine tuning Stewart platform for large spherical radio telescope," Mechatronics, vol. 11, pp. 821-835, 2001.
- Hao, F., and J-P. Merlet. "Multi-criteria optimal design of parallel manipulators based on interval analysis." Mechanism and machine theory 40.2 (2005): 157-171.
- Taherifar, A., et al. "Kinematic Optimization of Stewart Platform for Simulators Using Genetic Algorithm."
- Z. Gao, D. Zhang, Y. Ge, Design optimization of a spatial six degree-of-freedom parallel manipulator based on artificial intelligence approaches, Robot. Comput.-Integr. Manuf. 26 (2010) 180–189.
- Neto, Clodoaldo Schutel Furtado, and Clodoaldo Schutel. "Orientation workspace optimization for a 6-RUS parallel robot." (2014).
- Mirshekari, Erfan, Afshin Ghanbarzadeh, and Kourosh Heidari Shirazia. "Structure Comparison and Optimal Design of 6-RUS Parallel Manipulator Based on Kinematic and Dynamic Performances." Latin American Journal of Solids and Structures 13.13 (2016): 2414-2438.
- J. Denavait, R.S. Hartenberg, A kinematic notation for lower pair mechanism based on matrices, J. Appl. Mech. 22 (1955) 215–221.
- W. Khalil, J. Kleinfinger, A new geometric notation for open and closed-loop robots, in: Proceedings of the IEEE conference on robotics automation:1174–1180, 1986.
- Merlet, Jean-Pierre. Parallel robots. Vol. 128. Springer Science & Business Media, 2006.
- Bonev, Ilian Alexandrov. Geometric analysis of parallel mechanisms. Canada: Université Laval, 2002.
- P. Paul, Robot manipulators: mathematics, programming and control, MIT Press, Cambridge, 1981.
- Taghirad, Hamid D. Parallel robots: mechanics and control. CRC press, 2013.
- Angeles, Jorge. Fundamentals of robotic mechanical systems: theory, methods, and algorithms. Vol. 124. Springer Science & Business Media, 2013.
- Lara-Molina, F. A., J. M. Rosario, and Didier Dumur. "Multi-objective optimization of stewart-gough manipulator using global indices." Advanced Intelligent Mechatronics (AIM), 2011 IEEE/ASME International Conference on. IEEE, 2011.
- Babu, Sabbavarapu Ramana, et al. "Design for optimal performance of 3-RPS parallel manipulator using evolutionary algorithms." Transactions of the Canadian Society for Mechanical Engineering 37.2 (2013): 135.
- J. H. Holland, Adaptation in Natural and Artificial Systems. The MIT press Cambridge, MA, USA, 1992.
- J. S. Arora. Introduction to Optimum Design. Elsevier Academic Press, 2 edition, 2004.
- J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Neural Networks, 1995. Proceedings., IEEE International Conference on,vol. 4, Nov 1995, pp. 1942–1948.
- Q. Xu and Y. Li, Error analysis and optimal design of a class of translational parallel kinematic machine using particle swarm optimization, J. Robotica27,67–78 (2009).
- D. ping Tian, “A Review of Convergence Analysis of Particle Swarm Optimization,” International Journal of Grid and Distributed Computing,vol. 6, no. 6, pp. 117–128, 2013.
- Gosselin, C. M., Wang, J., (2000). Static balancing of spatial six degree of freedom parallel mechanisms with revolute actuators. Journal of Robotic Systems 17(3): 159-170.
