Predictive control based Speed, Torque and Flux Prediction of a Double Stator Induction Motor

Khouidmi, Houari; Massoum, Ahmed

Document Type : Review Article

Authors

Houari Khouidmi ¹
Ahmed Massoum ²

¹ Hassiba Benbouali University of Chlef.

² Djillali Liabès University of Sidi Bel-Abbès.

Abstract

This paper present the predictive control based speed, flux and torque prediction of a double stator induction motor. We performed first, the model of the DSIM as well as the direct vector control. We adopted the classical PI controllers for the speed control, the flux, and thus for setting the stator’s currents. In order to minimize the transient control and reduce the impact of measurement noise on the control signal, we used the multivariable generalized predictive control instead the vector control, which must require a flux and torque estimation. The results show, the effectiveness of the proposed method especially in the parameters variation and/or the change of the reference speed.

Keywords

References

[1] B. Ghalem, A. Bendiabdellah, “Six-Phase Matrix Converter Fed Double Star Induction Motor”, Journal of Applied Sciences, Acta Polytechnica Hungarica, 2010,Vol.7, (03), pp163-176.

[2] Alfredo R. Muñoz, Thomas A. Lipo, Fellow, “Dual Stator Winding Induction Machine Drive, IEEE Trans. Ind App,2000, Vol.36,(5), pp.1369-1380.

[3] H. Khouidmi, A. Massoum and A. Meroufel”, Dual Star Induction Motor Drive: Modelling, Supplying and Control”, International Journal of Electrical and Power Engineering, 2011, Vol.05, 28-34.

[4] R. Sadouni, A. Meroufel, “Indirect Rotor Field-oriented Control (IRFOC) of a Dual Star Induction Machine (DSIM) Using a Fuzzy Controller”, Journal of Applied Sciences, Acta Polytechnica Hungarica, 2012, Vol.9, (04), pp177-192.

[5] Blaschke, F., “The principle of field orientation applied to the new trans-vector closed-loop control system for rotating field machines”, Siemens-Review 39, 1972, pp. 217-220

[6] A.Khedher, MF.Mimouni, N.Derbel, A.Masmoudi, “Sensorless-adaptive DTC of double star induction motor. Energy Convers Manage, 2010; 51, pp.2878–2892.

[7] E. Y. Y. HO and P. C. SEN, “Decoupling control of induction motor drives,” IEEE Trans. Ind. Elect., 1988, Vol. 35, (2), pp.253–262.

[8] M.Menaa, O.Touhami, R. Ibtiouen, M.Fadel, “Sensorless direct vector control of an induction motor. Control Engineering Practice, 2008, Vol.16, pp.67-77.

[9] D.W. Clarke, C. Mohtadi, P.S. Tuffs, “Generalized predictive control” – parts 1 and 2, Automatica 23 (1987) 137–160.

[10] E.Camacho, E, C.Borbons, C, “Model Predictive Control”, Springer-Verlag, London, 1999.

[11] J. Richalet, A. Rault, J.L. Testud and J. Papon, “Model Predictive Heuristic Control: applications to industrial processes”, Automatica, 14 (1978) 413– 428.

[12] H. Khouidmi, A. Massoum, “Reduced-order Sliding Mode Observer Based Speed Sensorless Vector Control of Double Stator Induction Motor”, Journal of Applied Sciences, Acta Polytechnica Hungarica, 2014,Vol.11, (06), pp229-249.

[13] H. Khouidmi, A. Massoum, A. Meroufel and B. Meliani, “Generalized Predictive Speed Controller of Double Stator Induction Motor”, Journal of Electrical Engineering, 2012, Vol. 12.4.

[14] G. Torkel, L. Lennart, “Control theory: multivariable and nonlinear methods” Taylor & Francis Press, London, 2000.

[15] O. N. Gasparyan, “Linear and nonlinear multivariable Feedback control: A Classical Approach”, John Wiley & Sons Press, England, 2008.

[16] D. Valerio, J. S. Costa, “Tuning of Fractional Controllers Minimising H2 and H∞ Norms”, Journal of Applied Sciences, Acta Polytechnica Hungarica, 2006, Vol.3, (04), pp.55-70.

[17] H.P. Geering, “Berechnung von Zustandsraummodellen minimaler Ordnung aus der ¨Ubertragungsmatrix G(s) (Calculation of State Space Models with Minimal Order from the Transfer Matrix G(s))”, IMRT Press, Zurich, 1999.

[18] L. Bossi, C.Rottenbacher, G.Mimmi, L.Magni, “Multivariable predictive control for vibrating structures: An application”, Control Engineering Practice 19 (2011) 1087–1098.

[19] A. Jadlovska, N. Kabakov, J. Sarnovský, “Predictive Control Design Based on Neural Model of a Non-linear System”, Journal of Applied Sciences, Acta Polytechnica Hungarica, 2008,Vol.5, (04), pp93-108.

[20] H. Khouidmi, A. Massoum, “Neural Networks Generalized Predictive Speed Controller for Vector Controlled Double Stator Induction Motor”, Majlesi Journal of Mechatronic Systems, 2014, Vol. 03, (02), pp13-18.

[21] A. Jadlovska, Š. Jajčišin, “Predictive Control Algorithms Verification on the Laboratory Helicopter Model”, Journal of Applied Sciences, Acta Polytechnica Hungarica, 2012, Vol.9, (04), pp221-245.

[22] A.F. Syed, Ch.A. Fahad, H. Desa, A T. Hussain, “Model Predictive Controller-based, Single Phase Pulse Width Modulation (PWM) Inverter for UPS Systems”, Journal of Applied Sciences, Acta Polytechnica Hungarica, 2014,Vol.11, (06), pp23-38.

Majlesi Journal of Electrical Engineering

Predictive control based Speed, Torque and Flux Prediction of a Double Stator Induction Motor

References

References

Volume 13, Issue 1 - Serial Number 1
March 2019
Pages 65-77

Predictive control based Speed, Torque and Flux Prediction of a Double Stator Induction Motor

References

References

Volume 13, Issue 1 - Serial Number 1March 2019Pages 65-77

Volume 13, Issue 1 - Serial Number 1
March 2019
Pages 65-77