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Journal of Applied Nonlinear Dynamics
Miguel A. F. Sanjuan (editor), Albert C.J. Luo (editor)
Miguel A. F. Sanjuan (editor)

Department of Physics, Universidad Rey Juan Carlos, 28933 Mostoles, Madrid, Spain

Email: miguel.sanjuan@urjc.es

Albert C.J. Luo (editor)

Department of Mechanical and Industrial Engineering, Southern Illinois University Ed-wardsville, IL 62026-1805, USA

Fax: +1 618 650 2555 Email: aluo@siue.edu


A Low-pass-equivalent,State-space Model for the Nonlinear Coupling Dynamics in Mechatronic Transducers

Journal of Applied Nonlinear Dynamics 4(1) (2015) 21--42 | DOI:10.5890/JAND.2015.03.003

Nikolaos I. Xiros; Ioannis T. Georgiou

School of Naval Architecture and Marine Engineering, University of New Orleans, Louisiana, USA

School of Naval Architecture and Marine Engineering, National Technical University of Athens, Greece

Consultant Scientist, Leidos, Inc., Reston, VA 20190, USA

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Abstract

The nonlinear analysis of a typical electrical oscillator coupled nonlinearly to a mechanical one, as encountered in mechatronics applications for sensing, actuation and energy harvesting, is approached by using a state-space decomposition inspired by Volterra theory representation. The equation of motion of the mechanical subsystem includes an electromagnetic force directly proportional to the electric current squared. The nonlinear coupled dynamics is investigated systematically by partitioning the coupled system state vector in such a way as to fully exploit the mechanical low-pass and the electrical band-pass intrinsic features of free dynamics. In particular, by employing the Hilbert Transform, a low-pass equivalent system is derived and verified by using standard perturbation analysis. Then, a typical case is investigated thoroughly by means of numerical simulation of the original coupled low and band-pass, real-state-variable system and the low-pass-equivalent, complex-state-variable derived one. The nonlinear model equations considered here pave the way for a systematic investigation of nonlinear feedback control options designed to operate mechatronic transducers in energy harvesting, sensing or actuation modes.

References

  1. [1]  Xiros, N.I. and Georgiou, I.T. (2005), Analysis of Coupled Electromechanical Oscillators by a Band-Pass, Reduced Complexity, Volterra Method, Proceedings of ASME-IMECE 2005, November 5-11, Orlando, Florida, USA.
  2. [2]  Xiros, N.I. and Dhanak, M.R. (2009), Control Synthesis of a Nonlinearly Coupled Electromechanical System by a Reduced Complexity, Volterra Method, ASNE Intelligent Ships Symposium VIII, May 20-21, Philadelphia, PA, USA.
  3. [3]  Landa, P.S. (1996), Nonlinear Oscillations and Waves in Dynamical Systems, Kluwer, The Netherlands.
  4. [4]  Barth, H. (2003), Sensors and Sensing in Biology and Engineering, Second Ed., Springer-Verlag, Austria.
  5. [5]  Rhoads, J., Shaw, S.W., and Turner K.L. (2010), Nonlinear dynamics and its applications in Micro- and Nanoresonators, Journal of Dynamic Systems, Measurement, and Control, 132, 1-14.
  6. [6]  Younis, M.I., (2011), MEMS Linear and Nonlinear Statics and Dynamics, Springer, New York.
  7. [7]  Krause, P.C., Wasynczuk, O. and Sudhoff, S.D. (2002), Analysis of Electric Machinery and Drive Systems, 2nd Edition, Wiley Inter-Science.
  8. [8]  Khalil, H.K. (2000), Nonlinear Systems (3rd ed.), Prentice-Hall, USA.
  9. [9]  Chatterjee, A. and Vyas, N,S. (2004), Non-linear parameter estimation in multi-degree-of-freedom systems using multi-input Volterra series, Mechanical Systems and Signal Processing, 2004; 18, 457-489.
  10. [10]  Pacheco, R.P. and Steffen, V.-Jr. (2004), On the identification of non-linear mechanical systems using orthogonal functions, International Journal of Non-Linear Mechanics, 39, 1147-1159.
  11. [11]  Rugh, W.J. (1981), Nonlinear System Theory; The Volterra/Wiener Approach, The John Hopkins University Press.
  12. [12]  Schetzen, M. (1980), The Volterra and Wiener Theories of Nonlinear Systems, John Wiley & Sons.
  13. [13]  Haykin, S. (2000), Communication Systems (4th ed.), Wiley, USA.
  14. [14]  Shanmugam, K.S. (1979), Digital and Analog Communication Systems, John Wiley and Sons, USA.
  15. [15]  Proakis, J.G. and Manolakis, D.G. (1996), Digital Signal Processing; Principles, Algorithms and Applications (3rd ed.), Prentice-Hall, USA.
  16. [16]  Bose, N.K. (1985), Digital Filters; Theory and Applications, North-Holland, USA.