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Numerical integration scheme to reduce the errors in the satisfaction of constrained dynamic equation

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Abstract

Assuming that the existence of the constraints yields the change of the inertia force, this study derives the time-varying mass matrix for describing the constrained dynamic equation. It is displayed that the results corresponds with the ones by Udwadia and Kalaba. The numerical results obtained by integrating the constrained dynamic equation of second-order differential equations yield the errors in the satisfaction of the constraints. Modifying the derived dynamic equation this study presents a numerical algorithm to reduce the errors and to compute more precise motion. It is illustrated that the proposed method can be more precisely utilized in constrained mechanical systems through two applications of constrained nonlinear robotic systems.

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References

  1. P. Appell, Example de mouvement d’un point assujetti a une liaison exprimee par une relation non lineaire entre les composantes de la vitesse, Rendiconti del Circolo Matematico di Palermo, 32 (1911) 48–50.

    Article  MATH  Google Scholar 

  2. J. W. Gibbs, On the fundamental formulae of dynamics, American Journal of Mathematics, 2 (1879) 563–564.

    Article  MathSciNet  Google Scholar 

  3. T. R. Kane, Formulation of dynamical equations of motion, American Journal of Physics, 51 (1983) 974–977.

    Article  Google Scholar 

  4. F. E. Udwadia and R. E. Kalaba, A new perspective on constrained motion, Proceedings of the Royal Society of London, 439 (1992) 407–410.

    Article  MathSciNet  MATH  Google Scholar 

  5. F. E. Udwadia et al., The extended D’Alembert’s principle and equations of motion for constrained mechanical systems, Quarterly of Applied Mathematics, 55 (1997) 321–331.

    MathSciNet  MATH  Google Scholar 

  6. P. A. M. Dirac, Generalized Hamiltonian dynamics, Canadian Journal of Mathematics, 2 (1950) 129.

    Article  MathSciNet  MATH  Google Scholar 

  7. P. A. M. Dirac, Lectures on quantum mechanics, Belfer Graduate School of Science, Yeshiva University, New York (1964).

    Google Scholar 

  8. E. M. Rabei et al., Hamilton-Jacobi Treatment of constrained Systems with Second-Order Lagrangians, International Journal of Theoretical Physics, 43 (2004) 1073–1096.

    Article  MathSciNet  MATH  Google Scholar 

  9. E. Pennestrì and P. P. Valentini, Coordinate reduction strategies in multibody dynamics: A review, Conference on Multibody System Dynamics, Pitesti, RomaniECCOMAS (2004).

    Google Scholar 

  10. A. Laulusa and O. A. Bauchau, Review of classical approaches for constraint enforcement in multibody systems, Journal of Computational and Nonlinear Dynamics, 3 (2008) 011004.

    Article  Google Scholar 

  11. W. Schiehlen, Multibody system dynamics: Roots and perspectives, Multibody System Dynamics, 1 (1997) 149–188.

    Article  MathSciNet  MATH  Google Scholar 

  12. V. D. Sapio et al., Task-level approaches for the control of constrained multibody systems, Multibody System Dynamics, 16 (2006) 73–102.

    Article  MathSciNet  MATH  Google Scholar 

  13. P. Betsch and P. Steinmann, Constrained dynamics of geometrically exact beams, Computational Mechanics, 31 (2003) 49–59.

    Article  MATH  Google Scholar 

  14. J. H. Kim et al., A novel formulation for determining joint constraint loads during optimal dynamic motion of redundant manipulators in DH representation, Multibody System Dynamics, 19 (2008) 427–451.

    Article  MathSciNet  MATH  Google Scholar 

  15. T. Yatoh et al., Digital type disturbance compensation control of a floating underwater robot with 2 link manipulator, Artificial Life and Robotics, 13 (2008) 377–381.

    Article  Google Scholar 

  16. Y. Zhang et al., Auto-calibration of a redundant parallel manipulator based on the projected tracking error, Archive of Applied Mechanics, 77 (2007) 697–706.

    Article  MATH  Google Scholar 

  17. J. Hu et al., Trajectory planning of a novel 2-DoF high-speed planar parallel manipulator, Lecture Notes in Computer Science, Intelligent Robotics and Applications Springer-Verlag Berlin Heidelberg Part I, LNAI 5314 (2008) 199–207.

    Google Scholar 

  18. J. Kövecses et al., Dynamic Modeling and Analysis of a Robot Manipulator Intercepting and Capturing a Moving Object, with the Consideration of Structural Flexibility, Multibody System Dynamics, 3 (1999) 137–162.

    Article  MathSciNet  MATH  Google Scholar 

  19. E. M. Rabei et al., Hamilton-Jacobi treatment of constrained systems with second-order lagrangians, International Journal of Theoretical Physics, 43 (2004) 1073–1096.

    Article  MathSciNet  MATH  Google Scholar 

  20. B. S. Kim et al., Design variable tolerance effects on the natural frequency variance of constrained multibody systems in dynamic equilibrium, Journal of Sound and Vibration, 320 (2009) 545–558.

    Article  Google Scholar 

  21. R. M. Mukherjee and K. S. Anderson, Efficient methodology for multibody simulations with discontinuous changes in system definition, Multibody System Dynamics, 18 (2007) 145–168.

    Article  MathSciNet  MATH  Google Scholar 

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Authors

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Correspondence to Hee-Chang Eun.

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Recommended by Associate Editor Sungsoo Rhim

Salam Rahmatalla received his M.S. and Ph.D degrees in Civil and Environmental Engineering from The University of Iowa, Iowa City, IA, USA, in 2002 and 2004, respectively. Dr. Rahmatalla is currently an Assistant Professor at the Department of Civil and Environmental Engineering, The University of Iowa. Rahmatalla’a research interests include structural damage detection, dynamics and control of mechanical systems, and human biomechanics.

Eun-Taik Lee received his Ph.D. degree in Civil Engineering from SUNY/ Buffalo USA in 1992. Dr. Lee is currently the Professor at the School of Architecture & Building Science, College of Engineering, Chung-Ang University, Seoul, Korea. Dr. Lee’s research interests include structural remodeling, ubiquitous high-rise buildings, high-performance steel, performance-based structural design, and applied mechanics.

Hee-Chang Eun received his M.S. and Ph.D degrees in Civil Engineering from SUNY at Buffalo and USC, USA, in 1992 and 1995, respectively. Dr. Eun currently is a Professor at the Department of Architectural Engineering, Kangwon National University, Chuncheon, Korea. Dr. Eun’s research interests include structural damage detection, dynamics and control, and applied mechanics.

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Rahmatalla, S., Lee, ET. & Eun, HC. Numerical integration scheme to reduce the errors in the satisfaction of constrained dynamic equation. J Mech Sci Technol 27, 941–949 (2013). https://doi.org/10.1007/s12206-013-0205-9

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  • DOI: https://doi.org/10.1007/s12206-013-0205-9

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