CFP last date
20 January 2025
Reseach Article

Cascaded Nonlinear Adaptive Predictive Control based Adaptive Flux Observer of Induction Motor

by S. Meziane, R. Toufouti, A. Merabet, H. Benalla
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 4
Year of Publication: 2012
Authors: S. Meziane, R. Toufouti, A. Merabet, H. Benalla
10.5120/8882-2874

S. Meziane, R. Toufouti, A. Merabet, H. Benalla . Cascaded Nonlinear Adaptive Predictive Control based Adaptive Flux Observer of Induction Motor. International Journal of Computer Applications. 56, 4 ( October 2012), 37-43. DOI=10.5120/8882-2874

@article{ 10.5120/8882-2874,
author = { S. Meziane, R. Toufouti, A. Merabet, H. Benalla },
title = { Cascaded Nonlinear Adaptive Predictive Control based Adaptive Flux Observer of Induction Motor },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 4 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 37-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number4/8882-2874/ },
doi = { 10.5120/8882-2874 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:58:01.948597+05:30
%A S. Meziane
%A R. Toufouti
%A A. Merabet
%A H. Benalla
%T Cascaded Nonlinear Adaptive Predictive Control based Adaptive Flux Observer of Induction Motor
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 4
%P 37-43
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper present a new advanced control algorithm based on continuous minimization of predicted tracking errors, to achieve torque, rotor speed and rotor flux amplitude tracking objectives. This algorithm called a new Adaptive Nonlinear Predictive Control to induction motor drive uses a combination of the adaptive observer for rotor flux and Cascaded Nonlinear Predictive Control technique. The variables to be controlled are the rotor speed and the rotor flux norm, required to implement the predictive control algorithm is estimated by flux observer. The parameters identified adaptively are stator and rotor resistance which vary with motor temperature using the adaptive rotor flux observer. A stability of the proposed adaptive flux observer will be proved by the Lyapunov's theorem. Simulations are carried out in order to show the effectiveness of the drive and the robustness to parameters variations.

References
  1. Pedro. P. C. Jaime. J. R. R. (2000), Induction Motor Space Vector Control Using Adaptive Reference Model Direct and Indirect Methods, Industrial Electronics, Proceedings IEEE International Symposium, Issue , Page(s):300 - 305 vol. 1
  2. Rong. J. W, Jeng-D. L and Kuo-Min. L. (2005), Robust Decoupled Control of Direct Field-Oriented Induction Motor Drive, Industrial Electronics, IEEE Transactions on Vol. 52, Issue3, pp:837 – 854
  3. Chady E. M. , Mendes. E, and Razek. A, . (2002), Decoupled Direct Control for PWM Inverter-Fed Induction Motor Drives, IEEE Transactions on Industry Applications, Vol. 38, No. 5, Sept/Oct 2002
  4. Blaschke F. (1979),, "The Principle of Field Orientation as Applied to the New Transvektor Closed-Loop Control System for Rotating -Field Machines". Siemens Rev. , 39, 5, pp. 2 17-220.
  5. Scott. W, Matthew. W. D, and Barry W. W. (1997), Modeling and Simulation of Induction Machine Vector Control with Rotor Resistance Identification; Electronics, IEEE Transactions on Vol12, Issue 3, pp(s):495-506
  6. Casadei, D. ; Profumo, F. ; Serra, G. ; and Tani, A . (2002), FOC and DTC: Two Viable Schemes for Induction Motors Torque Control, Power electronics, IEEE Transactions on volume 17, issue 5, Sep 2002 page(s): 779 – 787.
  7. R. Marino, S. Peresada, P. Valigi, Adaptive Input-Output Linearizing Control of Induction Motors, IEEE %ns. Automat. Contr. , vol. 38, No. 2, Feb. , 1993, pp. 208- 221.
  8. T. Raumer, , J. von, M. Dion, L. Dugard, , Adaptive nonlinear speed and torque control of induction motors, in Proc. European Contr. Conf. , Groningen, Netherlands, 1993,
  9. R. Marino, S. Peresada, P. Tomei, global adaptive output feedback control of induction motors with uncertain rotor resistance, Proceedings of the 35th Conference on Decision and Control Kobe, Japan December 1996
  10. A. Merabet, M. Ouhrouche and R. T. Bui ,"Neural generalized predictive controller for induction motor", International Journal of Theoretical and Applied Computer Sciences Vol. 1 No. 1 pp. 83–100. GBS Publishers and Distributors, India 2006.
  11. D. W. Clarke, C. Mohtadi, and P. S. Tuffs, "Generalized predictive control: part I: the basic algorithm, part II: extensions and interpretation", In Automatica, Vol. 23:2, pp. 137-160, 1987.
  12. Clarke, D. W. ''Application of generalized predictive control to industrial processes'' Control Systems Magazine, IEEE Volume 8, Issue 2, Apr 1988 Page(s):49 – 55
  13. S. Larrinaga, M. Vidal, E. Oyarbide, and J. Apraiz, "Predictive control strategy for dc/ac converters based on direct power control," IEEE Trans. on Industrial Electronics, vol. 54, no. 3, pp. 1261–1271, March 2007.
  14. P. Zanchetta, D. Gerry, and P. W. V. G. Monopoli, J. C. Clare, "Predictive current control for multilevel active rectifiers with reduced switching frequency," IEEE Trans. on Industrial Electronics, vol. 55, no. 1, pp. 163–172, Jan 2008.
  15. J. W. Finch and D. Giaouris, "Controlled ac electrical drives," IEEE Transactions on Industrial Electronics, vol. 55, no. 2, pp. 481–491,February 2008.
  16. Santana, E. S. de ; Bim, E. ; Amaral, Wagner Caradori do . A Predictive Algorithm for Controlling Speed and Rotor Flux of Induction Motor. IEEE Transactions on Industrial Electronics, v. 55, p. 4398-4407, 2008.
  17. R. Hedjar, P. Boucher, and D. Dumur, "Robust nonlinear receding-horizon control of induction motors", Proceedings of the WeBO9. 1 44th IEEE Conference on Decision and Control, and the European Control Conference 2005 Seville, Spain, December 12-15, 2005.
  18. A. Benyahia, P. Boucher, D. Dumur. Control of an induction machine with feedback linearisation and multivariable cascaded predictive structure electric Machines and Drives Conference Record, 1997, IEEE International, Volume , Issue , 18-21 May 1997 Page(s):TB3/6. 1 - TB3/6. 3
  19. D. Dumur, P. Boucher and T. Kolb, "Application of cascade constrained receding horizon predictive control to an induction machine ", Proceedings of the 1996 Ieee International Conference on Control Applications Dearborn, Mi September 15-18, 1996.
  20. A. Merabet, M. Ouhrouche, R. T. Bui, J. S. Thongam, nonlinear multivariable control of induction motor based on generalized predictive control, Proceedings Of The Eighth IASTED International Conference Control And Applications May 24-26, 2006, Montreal, Qc, Canada 529-021.
  21. R. Hedjar , R. Toumi', P. Boucher and D. Dumur, " Cascaded nonlinear predictive control of induction motor", Proceedings of the 2000 IEEE International Conference on Control Applications Anchorage, Alaska, USA September 25-27, 2000.
  22. R. Hedjar, R. Toumi, P. Boucher and D. Dumur, "End point constraints nonlinear predictive control with integral action for induction motor", Proceedings of the 2004 IEEE International Conference on Control Applications Taiwan, September 2-4,2004.
  23. Meziane. S, Toufouti. R et Benalla. H, "Generalized nonlinear predictive control of induction motor", International Review of Automatic Control Volume1 Issue Number1 May 2008.
  24. A. Merabet, M Ouhrouche, R. T. Bui, H. Ezzaidi, nonlinear PID predictive control of induction motor drives, IFAC Workshop on NMPC for Fast Systems. October 9-11, 2006. Grenoble, France.
  25. S. Belkacem And F. Naceri, 'Speed Sensorless DTC of Induction Motor Based on an improved Adaptive Flux Observer", IEEE International Conference on Industrial Technology, 4-17 December 2005, pp. 1192- 1197, City university of Hong Kong, Hong Kong
  26. Chen W. -H. , D. J. Balance, P. J. Gawthrop, J. J. Gribble and J. O'Reilly, Nonlinear PID predictive controller, IEE Proceedings Control Theory application, vol. 146, no. 6, pp. 603-611, 1999.
  27. H. Kubota and K. Matsuse, "DSP based speed adaptive flux observer of induction motor", IEEE Trans. Ind. Applicat. , vol. 29, no. 2, pp. 344-348, Mar/Apr 1993.
  28. Hisao Kubota, Kouki Matsuse, and Takayoshi Nakano "New adaptive flux observer of induction motor for wide speed range motor drives", Industrial Electronics Society, 1990. IECON APOS, 90. 16th Annual Conference of IEEE Volume 2, Issue, 27-30 Nov 1990 Page(s):921 – 926
  29. Lipei Huang, Yasuki Tadokoro, and Kouki Matsuse, "deadbeat flux level control of direct-field-oriented high-horsepower induction servo motor using adaptive rotor flux observer ", IEEE Transactions On Industry Applications, Vol. 30, No. 4, July / August 1994.
Index Terms

Computer Science
Information Sciences

Keywords

Cascaded Nonlinear Predictive Control Nonlinear Control Induction Motors Adaptive Flux Observer