Fuzzy Second Order Sliding Mode Controller Based on Three-Level Fuzzy Space Vector Modulation of a DFIG for Wind Energy Conversion Systems

  • Habib Benbouhenni Ecole Nationale Polytechnique d'Oran Maurice Audin, Oran, Algeria
Keywords: Fuzzy second order sliding mode control, doubly fed induction generator, fuzzy logic, fuzzy space vector modulation, indirect vector control.

Abstract

ABSTRACT:

This paper presents a fuzzy second order sliding mode controller (FSOSMC) used for command stator active and stator reactive powers of doubly fed induction generator (DFIG). Based on the three-level space vector modulation with fuzzy logic (FL) controllers (FSVM). The powers command simulation results are obtained by using the proposed FSOSMC with FSVM and the traditional PI controller (Indirect Vector Command (IVC)) under different operating conditions. Also, sensitivity analyses simulation results for parameter variations are obtained to check the robustness of the system when using the proposed regulator. Finally, the simulation controlled system is illustrated for closed loop and simulation results are presented which show the validity and effectiveness of the proposed FSOSMC with FSVM inverter.

References

[1] A. Kerboua, M. Abid, “Hybrid fuzzy sliding mode control of a doubly-fed induction generator speed in wind turbines,” Journal of Power Technologies, Vol. 95, No. 2, pp. 126–133, 2015.
[2] T. Karaipoom, I. Ngamroo, “Optimal superconducting coil integrated into DFIG wind turbine for fault ride through capability enhancement and output power fluctuation suppression,” IEEE T Sustain Energ, Vol. 6, pp. 28–42, 2014.
[3] K. K. Gupta, S. Jain, “Comprehensive review of a recently proposed multilevel inverter,” IET Power Electron., Vol. 7, No. 3, pp. 467–479, 2014.
[4] A. Kolli, O. Béthoux, A. De Bernardinis, E. Labouré, G. Coquery, “Space-vector PWM controls synthesis for an H-bridge drive in electric vehicles,” IEEE Trans. Veh. Technol., Vol. 62, No. 6, pp. 2441–2452, 2013.
[5] J. A. Barrena, L. Marroyo, M. A. R. Vidal, J. R. T. Apraiz, “Individual voltage balancing strategy for PWM cascaded H-bridge converter based STATCOM,” IEEE Trans. Ind. Electron., Vol. 55, No. 1, pp. 21–29, 2008.
[6] E. G. Shehata, “Sliding mode direct power control of RSC for DFIGs driven by variable speed wind turbines,” Alexandria Engineering Journal, Vol. 54, pp. 1067-1075, 2015.
[7] Z. Boudjema, R. Taleb, Y. Djerriri, A. Yahdou, “A novel direct torque control using second order continuous sliding mode of a doubly fed induction generator for a wind energy conversion system,” Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 25, pp. 965-975, 2017.
[8] Z. Boudjema, A. Meroufel, Y. Djerriri, E. Bounadja, “Fuzzy sliding mode control of a doubly fed induction generator for wind energy conversion,” Carpathian Journal of Electronic and Computer Engineering, Vol. 6, No. 2, pp. 7-14, 2013.
[9] Y. Bekakra, D. B. Attous, “Comparison study between SVM and PWM inverter in sliding mode control of active and reactive power control of a DFIG for variable speed wind energy,” International Journal of Renewable Energy Research, Vol. 2, No. 3, pp. 472-476, 2012.
[10] K. D. E. Kerrouchea, A. Mezouara, L. Boumedienea, A. V. D. Bosscheb, “Modeling and Lyapunov-Designed based on Adaptive Gain Sliding Mode Control for Wind Turbines,” Journal of Power Technologies, Vol. 96, No. 2, pp. 124–136, 2016.
[11] M. A. A. Morsy, M. Said, A. Moteleb, H. T. Dorrah, “Design and implementation of fuzzy sliding mode controller for switched reluctance motor,” IEEE 2008 International Conference on Industrial Technology, 21-24 April 2008; Chengdu, China: IEEE. pp. 1367-1372.
[12] A.Yahdou, B. Hemici, Z. Boudjema, “Second order sliding mode control of a dual-rotor wind turbine system by employing a matrix converter,” Journal of Electrical Engineering, Vol. 16, No. 3, pp.1-11, 2016.
[13] S. Z. Chen, N. C. Cheung, K. C. Wong, J. Wu, “Integral variable structure direct torque control of doubly fed induction generator,” IET Renew. Power Gener, Vol. 5, No. 1, pp. 18-25, 2011.
[14] H. Benbouhenni, Z. Boudjema, A. Belaidi, “Neuro-second order sliding mode control of a DFIG supplied by a two-level NSVM inverter for wind turbine system,” Iranian Journal of Electrical & Electronic Engineering, In Press, 2018.
[15] F. Senani, A. Rahab, H. Benalla, “Modeling and control of active and reactive powers of wind energy conversion system in variable speed based on DFIG,” Revue des Energies Renouvelables, Vol. 18, No. 4, pp. 643-655, 2015.
[16] D. Phan, S. Yamamoto, “Maximum energy output of a DFIG wind turbine using an improved MPPT-curve method,” Energies, Vol. 8, pp. 11718-11736, 2015.
[17] D. Kanimozhi, S. Saravanan, R. Satheeshkumar, “Analysis of doubly fed induction generator connected matrix converter in wind farm,” International Journal of Engineering Research & Technology, Vol. 2, pp. 3981-3988, 2013.
[18] F. Bishwang, T. Guanzheng, F. Shaosheng, “Comparison of three different 2-Dspace vector PWM algorithms and their FPGA implementations,” Journal of Power Technologies, Vol. 94, No. 3, pp. 176-189, 2014.
[19] M. Gaballah, M. El-Bardini, S. Sharaf, M. Mabrouk, “Implementation of space vector-PWM for driving two level voltage source inverters,” Journal of Engineering Sciences, Vol. 39, No. 4, pp. 871-884, 2011.
[20] H. Benbouhenni, “36 Sectors DTC based on fuzzy logic of sensorless induction motor drives,” Research & Reviews: Journal of Engineering and Technology, Vol. 7, No. 1, pp.24-32, 2018.
[21] H. Benbouhenni, Z. Boudjema, “Speed regulator and hysteresis based on artificial intelligence techniques of three-level DTC for induction motor,” Acta Electrotechnica et Informatica, Vol. 17, No. 4, pp.50-56, 2017.
[22] M. Adjoudj, M. Abid, A. Aissaoui, Y. Ramdani, H. Bounoua, “Sliding mode control of a doubly fed induction generator for wind turbines,” Rev. Roum. Sci. Techn.-Electrotechn. Et Energ, Vol. 56, No. 1, pp. 15-24, 2011.
[23] Y. B. Shtessel, I. A. Shkolnikov, M. D. J. Brown, “An asymptotic second-order smooth sliding mode control,” Asian Journal of control, Vol. 5, No. 4, pp. 498-504, 2003.
[24] A. Pisano, “Second order sliding modes: Theory and applications,” Phd Thesis, Dipartimento di Ingegneria Elettrica ed Elettronica, univerista Degli Studi di, Cagliari, 2000.
[25] R. Hendel, F. Khaber, N. Essounbouli, “Adaptive type-2fuzzy second order sliding mode control for nonlinear uncertain chaotic system,” International Journal of Computational Science, Information Technology and Control Engineering, Vol. 2, No. 4, pp. 1-14, 2015.
[26] A. Beltran, M. E. H. Benbouzid, T. Ahmed-Ali, “Second-order sliding mode power control and grid fault-tolerance of a DFIG-based wind turbine,” Revue des Sciences et de la Technologies, Vol. 2, No. 1, pp. 75-91, 2011.
[27] B. Kim, K. Koo, J. J. Jeong, T. Goh, S. W. Kim, “Second-order siscrete-time sliding mode observer for state of charge determination based on a dynamic resistance Li-Ion battery model,” Energies, Vol. 6, pp. 5538-5551, 2013.
[28] Z. Boudjema, R. Taleb, A. Yahdou, H. Kahla, “High order sliding mode control of a DFIM supplied by two power inverters,” Carpathian Journal of Electronic and Computer Engineering, Vol. 8, No. 1, pp. 23-30, 2015.
[29] B. Beltran, M. E. Benbouzid, T. Ahmed-Ali, “Second-order sliding mode control of a doubly fed induction generator driven wind turbine,” IEEE Transactions on Energy Conversion, Vol. 27, No. 2, pp. 261-269, 2012.
[30] S. Boubzizi, H. Abid, A. El hajjaji, M. Chaabane, “Comparative study of three types of controllers for DFIG in wind energy conversion system,’’ Protection and Control of Modern Power Systems, Vol. 21, No. 3, pp.1-12, 2018.
Published
2018-11-02
How to Cite
Benbouhenni, H. (2018). Fuzzy Second Order Sliding Mode Controller Based on Three-Level Fuzzy Space Vector Modulation of a DFIG for Wind Energy Conversion Systems. Majlesi Journal of Mechatronic Systems, 7(3), 17-26. Retrieved from https://ms.majlesi.info/index.php/ms/article/view/369
Section
Articles

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