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Architecture optimization of 4PUS+1PS parallel manipulator

Published online by Cambridge University Press:  10 September 2010

G. Abbasnejad ,
H. M. Daniali  and
A. Fathi
G. Abbasnejad
Affiliation:
Department of Mechanical Engineering, Babol University of Technology, P.O. Box 484, Babol, Iran
H. M. Daniali*
Affiliation:
Department of Mechanical Engineering, Babol University of Technology, P.O. Box 484, Babol, Iran
A. Fathi
Affiliation:
Department of Mechanical Engineering, Babol University of Technology, P.O. Box 484, Babol, Iran
*
*Corresponding author. E-mail: mohammadi@nit.ac.ir
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Summary

The main goal of this paper is the design of 4PUS+1PS parallel manipulator, using an optimization problem that takes into accounts the characteristics of the workspace and dexterity. The optimization problem is formulated considering constraints on actuated and passive joint limits. A comparison between quantum particle swarm Optimization (QPSO) and PSO is developed. Two numerical examples are presented, which reveal the advantages of QPSO to PSO. Moreover, it is shown that by introducing the dexterity index as a quality measure throughout the workspace, the parallel manipulator is improved at the cost of a minor reduction in its workspace.

Keywords

Parallel manipulatorWorkspaceDexterity indexOptimizationPSOQPSO
Type
Articles
Information
Robotica , Volume 29 , Issue 5 , September 2011 , pp. 683 - 690
Copyright
Copyright © Cambridge University Press 2010

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References

1.Gough, V. E. and Whitehall, S. G., “Universal Tyre Test Machine,” Ninth International Technical Congress, FISITA (May, 1962) pp. 117–137.Google Scholar
2.Stewart, D., “A platform with six degrees of freedom,” Proc. Inst. Mech. Eng. 180 (5), 371–386 (1965).CrossRefGoogle Scholar
3.Clavel, R., “DELTA, a Fast Robot with Parallel Geometry,” Proceedings of 18th international symposium on industrial robots, Lausanne (1988) pp. 91–100.Google Scholar
4.Gregorio, RDi. and Parenti-Castelli, V., “A Translational 3-DOF Parallel Manipulator,” In: Advances in Robot Kinematics: Analysis and Control (Lenarcic, J. and Husty, M. L., eds.) (Kluwer Academic Publishers, Dordrecht, 1998), pp. 49–58.Google Scholar
5.Li, Y. and Xu, Q., “Kinematic analysis and design of a new 3-DOF translational parallel manipulator,” ASME J. Mech. Des. 128, 729–737 (2006).CrossRefGoogle Scholar
6.Alizade, R. I. and Bayram, C., “Structural synthesis of parallel manipulators,” Mech. Mach. Theory 39 (8), 857–870 (2004).CrossRefGoogle Scholar
7.Gao, F., Li, W. and Zhao, X., “New kinematic structures for 2-, 3-, 4-, and 5-DOF parallel manipulator designs,” Mech. Mach. Theory 37, 1395–1411 (2002).CrossRefGoogle Scholar
8.Chen, W.-J., “A Novel 4-dof Parallel Manipulator and its Kinematic Modeling,” IEEE International Conference on Robotics and Automation, Seoul (23–25 May, 2001) pp. 3350–3355.Google Scholar
9.Zlatanov, D. and Gosselin, C. M., “A family of new parallel architectures with four degrees of freedom,” EJCK 1 (1, paper 6) (2002).Google Scholar
10.Reboulet, C., Rapport d'avancement projet VAP, thème 7, phase 3. Rapport de Recherche 7743 (1991) CNES/DERA, Janvier.Google Scholar
11.Gallardo-Alvarado, J., Rico-Marti'nez, J. Mari'a, and Alici, G., “Kinematics and singularity analyses of a 4-dof parallel manipulator using screw theory,” Mech. Machine Theory 41, 1048–1061 (2006).CrossRefGoogle Scholar
12.Gosselin, C. and Angeles, J., “The optimum kinematic design of a spherical three-degree-of-freedom parallel manipulator,” ASME Trans. J. Mech. Trans. Autom. Des. 110 (2), 202–207 (1989).CrossRefGoogle Scholar
13.Gosselin, C. and Angeles, J., “A global performance index for the kinematic optimization of robotic manipulators,” ASME Trans. J. Mech. Des. 113 (3), 220–226 (1991).Google Scholar
14.Kurtz, R. and Hayward, V., “Multiple-goal kinematic optimization of a parallel spherical mechanism with actuator redundancy,” IEEE Trans. Robot. Autom. 8 (5), 644–651 (1992).CrossRefGoogle Scholar
15.Ma, O. and Angeles, J., “Optimum Architecture Design of Platform Manipulator,” Proceedings of the IEEE International Conference on Robotics Automation (June, 1991) pp. 1131–1135.CrossRefGoogle Scholar
16.Pittens, K. H. and Podhorodeski, R. P., “A family of Stewart platforms with optimal dexterity,” J. Rob. Syst. 10 (4), 463–479 (1993).Google Scholar
17.Mohammadi Daniali, H. R., Zsombor-Murray, P. J. and Angeles, J., “The isotropic designs of two general classes of planar parallel manipulators,” J. Robot. Syst. 12 (12), 795–805 (1995).CrossRefGoogle Scholar
18.Angeles, J., Fundamentals of Robotic Mechanical Systems: Theory, Methods, and Algorithms, 2nd ed. (Springer-Verlag, New York, 2003).CrossRefGoogle Scholar
19.Merlet, J.-P., “Designing a parallel manipulator for a specific workspace,” Int. J. Robot Res. 16 (4), 545–556 (1997).CrossRefGoogle Scholar
20.Boudreau, R. and Gosselin, C. M., “The synthesis of planar parallel manipulators with a genetic algorithm,” J. Mech. Des. 121 (4), 533–537 (1999).CrossRefGoogle Scholar
21.Laribi, M. A., Romdhane, L. and Zeghloul, S., “Analysis and dimensional synthesis of the DELTA robot for a prescribed workspace,” Mech. Mach. Theory 42, 859–870 (2007).CrossRefGoogle Scholar
22.LI, Y. and XU, Q., “Optimal Kinematic Design for a General 3-PRS Spatial Parallel Manipulator Based on Dexterity and Workspace,” The Eleventh International Conference on Machine Design and Production, Antalya, Turkey (13–15 Oct. 2004).Google Scholar
23.Xu, Q. and Li, Y., “Kinematic analysis and optimization of a new compliant parallel micromanipulator,” Int. J. Adv. Robot. Syst. 3 (4), 351–358 (2006).CrossRefGoogle Scholar
24.Pond, G. and Carretero, J. A. “Architecture optimisation of three 3-PRS variants for parallel kinematic machining,” Robot. Comput.-Integr. Manuf. 25 (1), 64–72 (2009).CrossRefGoogle Scholar
25.Chedmail, P. and Ramstein, E., “Robot mechanism synthesis and genetic algorithms,” Proc. IEEE Int. Conf. Robot. Autom. 4, 3466–3471 (1996).CrossRefGoogle Scholar
26.Bagchi, T. P., “Multiobjective robust design by genetic algorithms,” Mater. Manuf. Process. 18 (3), 341–354 (2003).Google Scholar
27.Zhang, D., Xu, Z., Mechefske, C. M. and Xi, F., “Optimum design of parallel kinematic tool-heads with genetic algorithms,” Robotica 22, 77–84 (2004).CrossRefGoogle Scholar
28.Zhuang, H., Wang, K. and Roth, Z. S., “Optimal Selection of Measurement Configurations for Robot Calibration Using Simulated Annealing,” Proceedings of the IEEE International Conference on Robotics and Automation, San Diego (1994) pp. 393–398.Google Scholar
29.Paredis, J. J. and Khosla, P. K., “Kinematic design of serial link manipulators from task specifications,” Int. J. Robot. Res. 12 (3), 274–287 (1993).CrossRefGoogle Scholar
30.Kennedy, J. and Eberhart, R., “Particle Swarm Optimization,” IEEE International Conference on Neural Networks, vol. IV, Piscataway, NJ (1995) pp. 1942–1948.Google Scholar
31.Clerc, M. and Kennedy, J. “The particle swarm-explosion, stability, and convergence in a multidimensional complex space,” IEEE Trans. Evolutionary Comput. 6 (1), (2002) 58–73.Google Scholar
32.Parsopoulos, K. E. and Vrahatis, M. N., “On the computation of all global minimizers through particle swarm optimization,” IEEE Trans. Evolutionary Comput. 8 (3), (2004) 211–224.CrossRefGoogle Scholar
33.Sun, J., Feng, B. and Xu, W. B., “Particle Swarm Optimization with Particles Having Quantum Behavior,” IEEE Proceedings of Congress on Evolutionary Computation (2004) pp. 325–331.Google Scholar
34.Sun, J., Xu, W. B. and Feng, B., “A Global Search Strategy of Quantum-Behaved Particle Swarm Optimization,” Cybernetics and Intelligent Systems Proceedings of the 2004 IEEE Conference (2004) pp. 111–116.Google Scholar
35.Xi, M., Sun, J. and Xu, W., “An improved quantum-behaved particle swarm optimization algorithm with weighted mean best position,” Appl. Math. Comput. 205, 751–759 (2008).Google Scholar
36.Golub, G. H. and Van Loan, C. F., Matrix Computations (The John Hopkins University Press, Baltimore, 1989).Google Scholar
37.Salisbury, J. K. and Craig, J. J., “Articulated hands: force control and kinematic issues,” Int. J. Robot. Res. 1 (1), 4–17 (1982).Google Scholar
38.Ranjbaran, F., Angeles, J., Gonzalez-Palacios, M. A. and Patel, R. V., “The mechanical design of a seven-axes manipulator with kinematic isotropy,” J. Intell. Robot. Syst. 14, 21–41 (1995).CrossRefGoogle Scholar
39.Stoughton, R. S. and Arai, T., “A modified Stewart platform manipulator with improved dexterity,” IEEE Trans. Robot. Autom. 9 (2), 166–173 (1993).CrossRefGoogle Scholar