Advertisement

A Geometric Approach for the Model Parameter Estimation in a Permanent Magnet Synchronous Motor

  • Paolo MercorelliEmail author
Chapter
  • 749 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 343)

Abstract

Control of permanent magnetic motors is not an easy task because of the presence of unknown parameters. Techniques are needed in order to achieve a suitable controlled dynamics identification. The proposed strategy uses the geometric approach to realised a decoupling of the system. The estimation of the parameters of a Permanent Magnet Synchronous Motor (PMSM) is simplified through a decoupling. The decoupling is realised using a feedback controller combined with a feedforward one. The feedforward controller is conceived through an input partition matrix. This technique can be applied to a large variety of motors or to any system for which the decoupling conditions are satisfied. Simulation and measured results are reported to validate the proposed strategy.

Keywords

Geometric approach Permanent magnet synchronous motor Identification 

References

  1. 1.
    Mercorelli, P.: Invariant subspace for grasping internal forces and non-interacting force-motion control in robotic manipulation. Kybernetika 48(6), 1229–1249 (2012)zbMATHMathSciNetGoogle Scholar
  2. 2.
    Mercorelli, P.: Geometric structures using model predictive control for an electromagnetic actuator. WSEAS Trans. Syst. Control 9, 140–149 (2014)Google Scholar
  3. 3.
    Rahman, M.A., Vilathgamuwa, D.M., Uddin, M.N., King-Jet, T.: Nonlinear control of interior permanent magnet synchronous motor. IEEE Trans. Ind. Appl. 39(2), 408–416 (2003)CrossRefGoogle Scholar
  4. 4.
    Mercorelli, P.: A Lyapunov approach for a pi-controller with anti-windup in a permanent magnet synchronous motor using chopper control. Int. J. Math. Models Methods Appl. Sci. 8, 44–51 (2014)Google Scholar
  5. 5.
    Kilthau, A., Pacas J.: Appropriate models for the controls of the synchronous reluctance machine. In: Proceedings IEEE IAS Annual Meeting, pp. 2289–2295 (2002)Google Scholar
  6. 6.
    Weisgerber, S., Proca, A., Keyhani, A.: Estimation of permanent magnet motor parameters. In: Proceedings of the 32nd IEEE Industrial Applications Society Annual Meeting, New Orleans, pp. 29–34 (1997)Google Scholar
  7. 7.
    Khaburi, D.A., Shahnazari, M.: Parameters identification of permanent magnet synchronous machine in vector control. In: Proceedings of the 10th European Conference on Power Electronics and Applications (EPE 2003), Toulouse, 2–4 September 2003Google Scholar
  8. 8.
    Mercorelli, P., Lehmann, K., Liu, S.: On robustness properties in permanent magnet machine control using decoupling controller. In: Proceedings of the 4th IFAC International Symposium on Robust Control Design, Milan, 25–27 June 2003 (2003)Google Scholar
  9. 9.
    Mercorelli, P.: Robust feedback linearization using an adaptive pd regulator for a sensorless control of a throttle valve. Mechatronics. J. IFAC. 19(8), 1334–1345 (2009). doi:10.1016/j.mechatronics.2009.08.008CrossRefGoogle Scholar
  10. 10.
    Mercorelli, P.: A decoupling dynamic estimator for online parameters indentification of permanent magnet three-phase synchronous motors. In: Proceedings of the 16th IFAC Symposium on System Identification, pp. 757–762 (2012)Google Scholar
  11. 11.
    Basile, G., Marro, G.: Controlled and Conditioned Invariants in Linear System Theory. Prentice Hall, New Jersey (1992)zbMATHGoogle Scholar
  12. 12.
    Wonham, W.M., Morse, A.S.: Decoupling and pole assignment in linear multivariable systems: A geometric approach. SIAM J. Control 8(1), 1–18 (1970)zbMATHMathSciNetCrossRefGoogle Scholar
  13. 13.
    Bhattacharyya, S.P.: Generalized controllability, controlled invariant subspace and parameter invariant control. SIAM J. Algebr. Discrete Methods 4(4), 529–533 (1983)zbMATHCrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Institute of Product and Process InnovationLeuphana University of LueneburgLueneburgGermany

Personalised recommendations