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Hardware Co-Simulation of an Adaptive Field Oriented Control of Induction Motor

  • Kabache, Nadir (Dept. of Electrical Engineering, University of Medea) ;
  • Moulahoum, Samir (Dept. of Electrical Engineering, University of Medea) ;
  • Houassine, Hamza (Dept. of Electrical Engineering and computer sciences, University of Medea)
  • Received : 2014.04.15
  • Accepted : 2014.05.10
  • Published : 2014.06.01

Abstract

The reconfigurability of FPGA devices allows designers to evaluate, test and validate a new control algorithm; a new component or prototypes without damaged the real system with the so-called hardware co-simulation. The present paper uses the Xilinx System Generator (XSG) environment to establish and validate a new nonlinear estimator for the rotor time constant inverse that will be exploited to improve the indirect rotor field control of induction motor.

Keywords

References

  1. R. Woods, J. Mcallister, G. Lightbody, and Y. Yi, FPGA-based implementation of signal processing systems, Edition John Wiley & Sons, Ltd., Pulication, 2008.
  2. O. AKIN, İ. ALAN, "The use of FPGA in fieldoriented control of an induction machine," Turk J Elec Eng & Comp Sci, Vol. 18, No. 6, pp. 943-962, 2010.
  3. S. Simard, R. Beguenane, and J.G. Mailloux, "Performance Evaluation of Rotor Flux-Oriented Control on FPGA for Advanced AC Drives," Journal of Robotics andMechatronics, vol. 21, No. 1, pp. 113-120, 2009 https://doi.org/10.20965/jrm.2009.p0113
  4. V. Gupta, K. Khare, and R.P. Singh, "Efficient FPGA design and implementation of digital PID controllers in Simulink," Int. J. of Recent Trends in Eng., vol 2, No. 6, pp. 147-150, 2009.
  5. S. Simard, J.G. Mailloux, and R. Beguenane, "Prototyping advanced control systems on FPGA," EURASIP J. on Emb. Sys. vol.2009, pp. 1-12, 2009
  6. T. Saidani , D. Dia, W. Elhamzi, M. Atri, and R. Tourki, "Hardware Co-simulation For Video Processing Using Xilinx System Generator," Proc. of the World Congress on Eng. (IWCE), London, U.K., July 1 - 3, 2009.
  7. F. Blaschke, "The principle of Field Orientation as Applied to the New Transvector Closed Loop Control for Rotating Machines," Siemens Review, vol. 39, pp. 217-220, 1972.
  8. W. Leonhard, Control of Electrical Drives, Spring Verlag, New York,. 1990.
  9. B. Chetate, N. Kabache, A.N. Ladygin, "Adaptive Control in an Asynchronous Electric Drive on the Basis of an Artificial Neural Network with Calculation of the Rotor Flux", Russian Electrical Engineering, vol. 78, pp. 315-321, 2007. https://doi.org/10.3103/S1068371207060090
  10. K. Wang, J. Chiasson, M. Bodson, and L.M. Tolbert, "An Online Rotor Time Constant Estimator for the Induction Machine, IEEE trans. control systems, vol. 15, pp. 339-348, 2007. https://doi.org/10.1109/TCST.2006.886445
  11. R. Marino, P. Tomei, C. Verrelli, "A Nonlinear Tracking Control for Sensorless Induction Motors," Automatica, vol. 41, pp. 1071-1077, 2005. https://doi.org/10.1016/j.automatica.2005.01.015
  12. S.H. Jeon, K. K. Oh, and J. Y. Choi, "Flux Observer with Online Tuning of Stator and Rotor Resistances for Induction Motors," IEEE Trans. Industrial Electronics, vol. 49, pp. 653-664, 2002. https://doi.org/10.1109/TIE.2002.1005393
  13. R. Marino, S. Peresada, and P. Tomei, "Global Adaptive Output Feedback Control of Induction Motors with Uncertain Rotor Resistance," IEEE Trans. Automatic Control,vol. 44, pp. 967-983, 1999. https://doi.org/10.1109/9.763212
  14. K. S. Narendra, and A.M. Annaswamy, "A new Adaptive Law for Robust Adaptation Without Persistent Excitation," IEEE Trans. Automatic Control, vol. 32, pp. 134-145, 1987. https://doi.org/10.1109/TAC.1987.1104543