Optimization of sliding mode with MRAS Based estimation for speed sensorless control of DSIM Via GWO

• Autorzy: Beghdadi Azeddine , Bentaallah Abderrahim , Abden Abdellah

Identyfikatory

DOI

10.15199/48.2021.06.04

Warianty tytułu

PL

Optymalizacja trybu przesuwu z szacowaniem opartym na MRAS dla bezczujnikowego sterowania prędkością DSIM za pośrednictwem GW

• Języki publikacji: EN

Abstrakty

EN

Doing research on DSIM control and increasing its effectiveness and durability, made us think about using a strong estimating system to evaluate the speed and the rotor flux, So we are conducting this research based on the sliding mode speed sensorless vector control. Therien, we present the Model Reference Adaptive System (MRAS) of double stator induction motor is presented. In order to achieve a robust system, SMC controllers are designed to replace the current regulators of traditional vector control system and PI regulator of sensorless speed system. After trying this technique, we found it difficult to find the parameters of the sliding mode, so we suggest the use one meteheurstic method to find the optimal parameters, which is the Grey wolf to ensure robust control without a sensorless. The results presented to Matlab showed a positive effect on the behavior of the system, as presented the Grey Wolf in finding the optimal parameters, which enabled us to obtain a more robust system.

PL

Badania nad sterowaniem DSIM oraz zwiększeniem jego skuteczności trwałości skłoniły nas do zastanowienia się nad zastosowaniem silnego systemu szacowania do oszacowania prędkości i strumienia wirnika. Wykonaliśmy to badanie w oparciu o bezczujnikowe sterowanie wektorowe prędkości w trybie ślizgowym w oparciu o Model Odniesienia Systemu Adaptacyjnego (MOSA) silnika indukcyjnego z podwójnym stojanem. Dla uzyskania solidnego systemu, sterowniki STP zostały zaprojektowane w celu zastąpienia regulatorów prądu tradycyjnego systemu sterowania wektorowego i regulatora PI bezczujnikowego systemu prędkości. Po wypróbowaniu tej techniki stwierdziliśmy, że trudno jest znaleźć parametry trybu ślizgowego, dlatego zasugerowaliśmy użycie jednej metody meteurstycznej w celu znalezienia optymalnych parametrów, czyli wilka szarego, aby zapewnić solidną kontrolę bez czujnika. Przedstawione Matlabowi wyniki wykazały pozytywny wpływ na zachowanie systemu, co pozwoliło nam uzyskać solidniejszy system.

Słowa kluczowe

EN

dual star induction motor; DSIM; field oriented control; FOC; sliding mode controller; SMC

PL

silnik indukcyjny z podwójną gwiazdą; SIPG; sterownik trybu przesuwnego; STP; sterowanie polowe

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2021
• Tom: R. 97, nr 6
• Strony: 21--29
• Opis fizyczny: Bibliogr. 26 poz., rys., tab.

Twórcy

autor

Beghdadi Azeddine

• Intelligent Control and Electrical Power System Laboratory, University of Djillali Liabas, Sidi Bel-Abbes, Algeria

autor

Bentaallah Abderrahim

• Intelligent Control and Electrical Power System Laboratory, University of Djillali Liabas, Sidi Bel-Abbes, Algeria

autor

Abden Abdellah

• Smart Grids & Renewable Energies Laboratory (SRGE) at the University of Tahri Mohammed Bechar, BP 417 Route de Kenadsa, 08000 Bechar, Algeria

Bibliografia

• [1] D. Hadiouche, H. Razik and A. Rezzoug, “Stady and simulation of space vector PWM control of double-Star Induction Motors’’, 2000 IEEE-CIEP, Acapulco, Mexico, (2000), pp. 42-47.
• [2] G. K. Singh, K. Nam and S. K. Lim, “A simple indirect field oriented control scheme for multiphase induction machine”, IEEE Trans. Ind. Elec, vol. 52, no. 4, (2005) August, pp. 1177- 1184.
• [3] D. Hadiouche, H. Razik and A. Rezzoug, “Modelling of a double-star induction motor with an arbitrary shift angle between its three phase windings’’, EPE-PEMC 2000, (2000), Kosice.
• [4] D. Casdei, G. Serra and A. Tani, “The use of converters in direct control of induction machines”, IEEE Trans, on Industrial Electronics, vol. 48, no. 6, (2001).
• [5] T. S Radwan, “Perfect speed tracking of direct torque controlled induction motor drive using Fuzzy logic”, IEEE Trans Ind, Appl, (2005), pp. 38-43.
• [6] T. Laamayad, F. Naceri, R. Abdessemed, S. Belkacem, “A Fuzzy Adaptive Control for Double Stator Induction Motor Drives,” The International conference on Electronics and Oil, From Theory to Applications, Ouargla, Algeria, March 05-06, 2013.
• [7] G.R. Arab Markadeh, J. Soltani, N.R. Abjadi, M. Hajian, “Sensorless Control of a Six-Phase Induction Motors Drive Using FOC in Stator Flux Reference Frame,” International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, Vol.3, No.10, 2009.
• [8] M. A. Fnaiech, F. Betin, G. A. Capolino, “MRAS applied to sensorless control of a six phase induction machine,” IEEE Rated power 4.5 kW Rated voltage 220 V Rated current 6.5 A Rated speed 2840 rpm Rated frequency 50 Hz Rotor resistance Rr 2.12 Ω Stator inductance Ls1= Ls2 0.011 H Stator resistance Rs1= Rs2 3.72 Ω Rotor inductance Lr 0.274 H Magnetizing Inductance 0.3672 H Number of pairs of poles ‘P’ 2 Rotor inertia J 0.0625 Kg.m2 Friction Coefficient fc 0.08m.s/rd PRZEGLĄD ELEKTROTECHNICZNY, ISSN 0033-2097, R. 97 NR 6/2021 29 International Conference on Industrial Technology, Vina del Mar, Chile, 14-17 March 2010.
• [9] A. Meroufel, A. Massoum, and P. Wira “A Fuzzy Sliding Mode Controller for a Vector Controlled Induction Motor”, Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on Publication,pp. 1873-1878(2008),
• [10] S. Mirjalili,S.M. Mirjalili, and A. Lewis , “ Grey wolf optimizer ”,Advances in Engineering Software,Vol.69, pp.46–61, 2014.
• [11] S. Gholizadeh,“Optimal design of double layer grids considering nonlinear behaviour by sequential grey wolf algorithm”, Journal of Optimization in Civil Engineering, Vol. 5, No. 4, pp.511523, 2015.
• [12] A. El-Fergany, and H. M. Hasanien, “Single and multiobjective optimal power flow using grey wolf optimizer and differential evolution algorithms ”,Electric Power Components and Systems, Vol. 43.
• [13] D. Hadiouche, H. Razik and A. Rezzoug, “On the modeling and design of dual-stator windings to minimize circulating harmonic currents for VSI fed AC machines,” IEEE Trans. Ind. Appl., vol. 40, no. 2, pp. 506–515, March/April 2004.
• [14] G. K. Singh, K. Nam and S. K. Lim, “A simple indirect fieldoriented control scheme for multiphase induction machine,” IEEE Trans. Ind. Elect., vol. 52, no. 4, pp. 1177–1184, August 2005.
• [15] M. Merabtene et E. R. Dehault, “Modélisation en vue de la commande de l’ensemble covertisseur-machine multi-phases fonctionnant en régime dégradé,” Sixième conférence des jeunes chercheurs en génie électrique, JCGE’3, Saint-Nazaire, pp. 193–198, 5 et 6 Juin 2003.
• [16] D. Beriber, E. M. Berkouk, A. Talha and M. O. Mahmoudi, “Study and control two two-level PWM rectifiers-clamping bridge-two three-level NPC VSI cascade. Application to double stator induction machine,” 35th Annual IEEE Electronics Specialists Conference, pp. 3894–3899, Aachen, Germany, 2004.
• [17] V. Pant, G. K. Singh and S. N. Singh, “Modeling of a multiphase induction machine under fault condition,” IEEE International Conference on Power Electronics and Drive Systems, PEDS’99, pp. 92– 97, July 1999, Hong Kong.
• [18] Y. Fu, “Commande découplées et adaptatives des machines asynchrones triphasées,” Thèse de doctorat, Université Montpellier II, 1991.
• [19] Y. Fu, “Commande découplées et adaptatives des machines asynchrones triphasées,” Thèse de doctorat, Université Montpellier II, 1991.
• [20] Mini R, Shabana Backer P , B. Hariram Satheesh , Dinesh M. N “Low Speed Estimation of Sensorless DTC Induction Motor Drive Using MRAS with Neuro Fuzzy Adaptive Controller” International Journal of Electrical and Computer Engineering (IJECE), ISSN: 2088-8708, Vol. 8, No. 5, pp. 2691~2702, October 2018.
• [21] Rabah Araria, Karim Negadi, Mohamed Boudiaf, Fabrizio Marignetti, Nonlinear control of DC-DC converters for battery power management in electric vehicle application, Przegląd Elektrotechniczny, ISSN 0033-2097, R. 96 NR 3/2020.
• [22] Puli, A. Venkadesan (2014), “Comparison of Rotor Flux and EMF Based MRAS for Rotor Speed Estimation in Sensorless Direct Vector Controlled Induction Motor Drives”, IJRIT International Journal of Research in Information Technology, Vol. 2, Issue 4, pp. 130-138.
• [23] E. Merabet, R. Abdessemed, H. Amimeur and F. Hamoudi, “Field oriented control of a dual star induction machine using fuzzy regulators,” in 4th Int. Conf. Computer Integrated Manufacturing, CIP’07, Univ. Setif, Algeria, Nov. 03–04, 2007.
• [24] Araria, R., Berkani, A., Negadi, K., Marignetti, F., Boudiaf, M. (2020). Performance analysis of DC-DC converter and DTC based fuzzy logic control for power management in electric vehicle application. Journal Européen des Systèmes Automatisés,Vol.53,No.1,pp.19. https://doi.org/10.18280/jesa.5 30101.
• [25] R. Bojoi, A. Tenconi, G. Griva and F. Profumo, “Vector control of dual three- phase induction-motor drives two current sensors,” IEEE Trans. Ind. Appl., vol. 42, no. 5, pp. 1284–1292, Sep./Oct. 2006.
• [26] R. Bojoi, M. Lazzari, F. Profumo and A. Tenconi, “Digital FieldOriented Control for Dual Three-Phase Induction Motor Drives”, IEEE Trans. On INDUSTRY Appl., Vol. 39, No. 3, (May/June)2003,pp.752-760.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).