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Reseach Article

Parameter Estimation and Control of Induction Machine using a new Recursive Algorithm

by Nawel Damak, Samira Kamoun
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 12
Year of Publication: 2013
Authors: Nawel Damak, Samira Kamoun
10.5120/11444-7050

Nawel Damak, Samira Kamoun . Parameter Estimation and Control of Induction Machine using a new Recursive Algorithm. International Journal of Computer Applications. 67, 12 ( April 2013), 1-5. DOI=10.5120/11444-7050

@article{ 10.5120/11444-7050,
author = { Nawel Damak, Samira Kamoun },
title = { Parameter Estimation and Control of Induction Machine using a new Recursive Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 12 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number12/11444-7050/ },
doi = { 10.5120/11444-7050 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:24:26.635791+05:30
%A Nawel Damak
%A Samira Kamoun
%T Parameter Estimation and Control of Induction Machine using a new Recursive Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 12
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Two schemes control for induction machine are proposed and compared. A new off-line recursive algorithm is used to estimate the parameters of a commercial 1 kW induction motor, which is described by a multivariable state space mathematical model. The self-tuning control scheme and the control scheme with disturbance compensation are proposed. Those techniques are based on the concept of quadratic optimal control. The schemes control performance is tested using stator current, voltage and speed measurements. The obtained results demonstrate the proposed schemes's effectiveness.

References
  1. S. R, Shaw and S. B. Leeb: Identification of induction motor parameters from transient stator current measurement. IEEE. Ind. Electron, 46 (1), pp. 139-149, 1999.
  2. Y. Koubaa: Recursive identification of induction motor parameters. Simulation Modelling Practice and Theory, 12 (5), pp. 363-381, 2004.
  3. Y. Koubaa: Asynchronous machine parameters estimation using recursive method. Simulation Modelling Practice and Theory, Vol. 14, pp. 1010-1021, 2006.
  4. N. Damak, S. Kamoun and Y. Koubaa. Estimation of asynchronous machine parameters and state variables. International Review on Modelling and Simulations (IREMOS), vol. 4, pp. 1112-1120.
  5. A. Szumanowski: Fundamentals of hybrid vehicle drives. Publishing and Printing House of the Institute for Sustainable Technologies NRI,Warsaw-Radom. Vas P. 1990. Vector control of AC machines. Clarendon Press, Oxford UK, 2000.
  6. M. Ehsani, Gao J. , Sebastien E. and Gay E. , Emadi A: Modern electric, and hybrid electric, and Fuel Cell Vehicles. Fundamentals, theory, and design. CRC Press, London, New York, Washington.
  7. H. Toliyat, E. Levi, and M. Raina. SA review of RFO induction motor parameter estimation techniques. IEEE Transactions on Energy Conversion, vol. 18, no. 2, pp. 271283, Jun. 2003.
  8. P. Vas: Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines. Clarendon Press, 1993.
  9. T. Matsuo and T. A. Lipo: Rotor Parameter Identification Scheme for Vector Controlled Induction Motor Drives. IEEE trans. On Ind. Appl. Vol. IA-21, n3. pp 624-632, 1985.
  10. Moazzam, M. ; T. Hesketh, and D. J. Clements: Recursive identification of certain structured time-varying state-space models. IEE Proc. Control Theory Appl, Vol. 144, No5, 1997.
  11. M. Hilairet; F. Auger and E. Berthelot: Speed and rotor flux estimation of induction machines using a two-stage extended Kalman filter. Automatica, Vol. 45, pp. 1819-1829, 2009.
  12. F. Ding and T. Chen: Hierarchical least squares identification methods for multivariable systems. Automatic control, IEEE Transactions on, Vol. 50, pp. 397-402, 2005.
  13. I. D. Landau: Evolution of adaptative control. A. S. M. E. Transactions, Journal D. S. M. C, Vol. 115, pp. 381-391, 1993.
  14. N. T. West and R. D. Lorenz: Digital implementation of stator and rotor flux-linkage observers and a stator-current observer for deadbeat direct torque control of induction machines. IEEE Transactions on Industry Applications, vol. 45, no. 2, pp. 729736, 2009.
  15. M. Boukhnifer, A. Chabet , T. Azib and C. Larouci: Design of tele-control electrical vehicle system using fuzzy logic control. IEEE International Journal of Advanced Robotic Systems : Mechatronics, Vol. 9, 11/2012.
  16. A. Musolino, R. Rizzo, and E. Tripodi: Tubular linear induction machine as afast actuator: Analysis and design criteria. IEEE Progress In Electromagnetics Research, Vol. 132, 603-619, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Induction machine Recursive algorithm Off-line parameter estimation Control schemes