New Robust Approach of Direct Field Oriented Control of Induction Motor

Authors: T. Benmiloud, A. Omari

Abstract:

This paper presents a new technique of compensation of the effect of variation parameters in the direct field oriented control of induction motor. The proposed method uses an adaptive tuning of the value of synchronous speed to obtain the robustness for the field oriented control. We show that this adaptive tuning allows having robustness for direct field oriented control to changes in rotor resistance, load torque and rotational speed. The effectiveness of the proposed control scheme is verified by numerical simulations. The numerical validation results of the proposed scheme have presented good performances compared to the usual direct-field oriented control.

Keywords: Induction motor, direct field-oriented control, compensation of variation parameters, fuzzy logic controller.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1084850

References:

[1] I.K. Bousserhane, A. Hazzab. (2006): Direct field oriented control using backstepping strategy with fuzzy rotor resistance estimator for induction motor speed control. International Journal of Applied Engineering Research. Vol.1, N1, p. 37-50.
[2] S. Sangwongwanich, S. Doh, T. Yonemoto, S. Okuma. (1990): Adaptive sliding observers for direct field-oriented control of Induction Motor. Industrial Electronics Society, 16th Annual Conference of IEEE. Vol2, p. 915-920.
[3] G.C Verghese. and S.R. Sanders. (1988): Observers for flux estimation in induction machines. ÔÇö IEEE Trans. Ind. Electron., Vol. 35, No. 1, pp. 85-94.
[4] J. Soltani, Y. Abdolmaleki and M. Hajian. (2005): Adaptive fuzzy sliding-mode control of speed sensorless universal field oriented induction motor drive. ÔÇö Iranian Journal of Science & Technology, Transaction B, Engineering, Vol. 29, No. B4 .
[5] J.P. Caron, J.P. Hautier. (1995): Modeling and Control of Induction Machine. Technip Edition (text in french).
[6] M. A. Ouhrouche and C. Volat. (2000): Simulation of a Direct Field- Oriented Controller for an Induction Motor Using Matlab/ Simulink. Proceeding of the IASTED International Conference Modelling and Simulation - Pittsburgh, Pennsylvania, USA.
[7] M. Alamir. (2002): Sensitivity analysis in simultaneous state/ parameter estimation for induction motors. Int. J. of Control, vol. 75, n┬░10, pp. 753-758.
[8] Van Raumer J.M. Dion, L. Dugard and J.L.Thomas. (1994): Applied nonlinear control of an induction motor using digital signal processing. IEEE Trans. Contr. Syst. Technol, Vol. 2, No. 4, pp. 327-335.
[9] A. Mansouri, M. Chenafa, A. Bouhenna and E. Etien. (2004): Powerfull nonlinear observer associated with field-oriented control of an induction motor. Int. J. Appl. Math. Comput. Sci, Vol. 14, No. 2, 209-220.
[10] E. H. Mamdani and S. Assilina. (1975): An experiment in linguistic synthesises with a fuzzy logic controller. International Journal of Man Machine Studies. No 7, p.1-13.
[11] F. Blaschke. (1972): The principle of field orientation as applied to the new transvector closed loop control system for rotating field machines. ÔÇö Siemens Rev, Vol. XXXIX, No. 5, pp. 217-220.
[12] Han-Xiong Li and H. B. Gathaland. (1996): Conventional Fuzzy-Control and Its Enhancement .IEEE Trans. on sys. Man , Vol 26, No5.