Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-27T11:22:23.522Z Has data issue: false hasContentIssue false

Analytical mechanics approaches in the dynamic modelling of Delta mechanism

Published online by Cambridge University Press:  21 March 2014

Renato Maia Matarazzo Orsino*
Affiliation:
Department of Mechanical Engineering, Escola Politecnica, University of Sao Paulo, Sao Paulo, Brazil
Tarcisio Antonio Hess Coelho
Affiliation:
Department of Mechatronics and Mechanical Systems Engineering, Escola Politecnica, University of Sao Paulo, Sao Paulo, Brazil
Celso Pupo Pesce
Affiliation:
Department of Mechanical Engineering, Escola Politecnica, University of Sao Paulo, Sao Paulo, Brazil
*
*Corresponding author. E-mail: renato.orsino@gmail.com

Summary

The increasing importance of computational models for the design of complex mechanical systems raises a discussion on defining some criteria for the selection of adequate modelling methods. This paper aims to contribute to such discussion from an educational point of view. By choosing the Delta parallel mechanism as a typical representative of multi-body mechanical systems, four approaches – one based on the Principle of Virtual Work, two based on Lagrange's formalism, and one based on Kane's formalism – are analysed from the perspective of modelling procedures. Finally, inverse dynamic simulations are carried out along with qualitative comparisons of the considered approaches.

Type
Articles
Copyright
Copyright © Cambridge University Press 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Andrioaia, D., Rotar, D. and Puiu, G., “Determining the driving torques of the robots with Delta 3DOF parallel structure by using the MSC ADAMS software pack,” Appl. Mech. Mater. 332, 224228 (2013).CrossRefGoogle Scholar
2. Clavel, R., Conception d'un Robot Parallele Rapide a 4 degres de Liberte PhD Thesis, Ecole Polytechnique Federale de Lausanne, Switzerland (1991).Google Scholar
3. Clavel, R., “Delta, a Fast Robot with Parallel Geometry,” Proceedings of the 18th International Symposia On Industrial Robot, Lausanne, Switzerland (1988) pp. 91100.Google Scholar
4. Codourey, A., “Dynamic Modelling and Mass Matrix Evaluation of the DELTA Parallel Robot for Axes Decoupling Control,” Proceedings of the 1996 IEEE/RSJ International Conference on Intelligent Robots and Systems '96, Vol. 3 (1996) pp. 12111218.Google Scholar
5. Craig, J. J., Introduction to Robotics: Mechanics and Control (Addison-Wesley Longman, Boston MA, 1989).Google Scholar
6. Guglielmetti, P., Model-Based Control of Fast Parallel Robots: A Global Approach in Operational Space, PhD Thesis, Ecole Polytechnique Federale de Lausanne, Switzerland (1994).Google Scholar
7. Hervé, J. M., “The lie group of rigid body displacements, a fundamental tool for mechanism design,” Mech. Mach. Theory 34, 719730 (1999).CrossRefGoogle Scholar
8. Kane, T. R. and Levinson, D. A., Dynamics: Theory and Applications (McGraw Hill, Columbus, OH, 1985).Google Scholar
9. Khalil, W. and Ibrahim, O., “General solution for the dynamic modeling of parallel robots,” J. Intell. Robot. Syst. 49 (1), 1937 (2007).Google Scholar
10. Khan, W., Krovi, V., Saha, S. and Angeles, J., “Modular and recursive kinematics and dynamics for parallel manipulators,” Multibody Syst. Dyn. 13 (3–4), 419455 (2005).Google Scholar
11. Lanczos, C., The Variational Principles of Mechanics (Dover, New York, NY, 1983).Google Scholar
12. Laulusa, A. and Bauchau, O. A., “Review of classical approaches for constraint enforcement in multibody systems,” J. Computat. Nonlinear Dyn. 3 (1), 011004011004 (2007).CrossRefGoogle Scholar
13. Leech, J. W., Classical Mechanics (Science paperbacks, Routledge, Chapman & Hall, Arbor, MI, 1975).Google Scholar
14. Li, Y. and Xu, Q., “Dynamic Analysis of a Modified DELTA Parallel Robot for Cardiopulmonary Resuscitation,” Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (2005) pp. 233–238.Google Scholar
15. Merlet, J.-P., Parallel Robots, 2nd edn. (Springer, Netherlands, 2006).Google Scholar
16. Merlet, J.-P., “Still a Long Way to Go on the Road for Parallel Mechanisms,” ASME DETC Conference, Montreal (2002).Google Scholar
17. Miller, K., “Optimal design and modeling of spatial parallel manipulators,” Int. J. Robot. Res. 23 (2), 127140 (2004).Google Scholar
18. Mitiguy, P. C. and Kane, T. R., “Motion variables leading to efficient equations of motion,” Int. J. Robot. Res. 15, 522532 (1996).CrossRefGoogle Scholar
19. Özgür, E., From Lines to Dynamics of Parallel Robot, PhD Thesis, LUniversit Blaise Pascal – Clermont II, France (2012).Google Scholar
20. Staicu, S., “Recursive modelling in dynamics of Delta parallel robot,” Robotica 27 (2), 199207 (2009).Google Scholar
21. Tsai, L.-W., Robot Analysis: The Mechanics of Serial and Parallel Manipulators (John Wiley, Hoboken, NJ, 1999).Google Scholar
22. Udwadia, F. E. and Phohomsiri, P., “Explicit Poincaré equations of motion for general constrained systems. Part I. Analytical results,” Proc. R. Soc. 463, 14211434 (2007).CrossRefGoogle Scholar
23. Wolfram Research, Wolfram Mathematica 8 Documentation Center (Wolfram Research, Champaign, IL, 2012). Available at: http://reference.wolfram.com/mathematica/guide/Mathematica.html (Acessed Jul. 23, 2012).Google Scholar