Second Order Sliding Mode with ANFIS Controllers for DFIG using Seven-level NSVPWM Technique
Keywords:
ANFIS, SOSMC, DFIG, seven-level NSVPWM, ANNs, ANFIS-SOSMC.
Abstract
This article presents a second order sliding mode control (SOSMC) with adaptive network-based fuzzy inference system (ANFIS) controller for the doubly fed induction generator (DFIG) using seven-level neural space vector pulse width modulation (NSVPWM) strategy. The proposed control combines the advantages of the robustness of SOSMC technique and easy implementation of ANFIS controller. However, the ANFIS controller is the combination of artificial neural networks (ANNs) and fuzzy logic controller (FLC). The stability of the ANFIS-SOSMC technique is proved using Lyapunov theorem. Finally, the SOSMC control with ANFIS controller is used to regulate the active and reactive power of a DFIG supplied by the seven-level NSVPWM technique and confirms the validity of the proposed approach. Results of simulations containing tests of robustness and tracking tests are presented.
References
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[3] Z. Boudjema, R. Taleb, A. Yahdou, “A new DTC scheme using second order sliding mode and fuzzy logic of a DFIG for wind turbine system,” International Journal of Advanced Computer Science and Applications, Vol. 7, No. 8, pp.49-56, 2016.
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[5] H. Benbouhenni, “Sliding mode with neural network regulator for DFIG using two-level NPWM inverter,” Iranian Journal of Electrical and Electronic Engineering, Vol. 15, No. 3, 2019.
[6] D. Kairous, R. Wamkeue, “DFIG-based fuzzy sliding-mode control of WECS with a flywheel energy storage,” Electr. Power Syst. Res., Vol. 93, pp. 16.23, 2012.
[7] 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. 4, pp. 1- 11, 2016.
[8] H. Benbouhenni, “ 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, Vol. 7, No. 3, 2018.
[9] 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 and Electronic Engineering, Vol.14, No. 3, pp.362-373, 2018.
[10] H. Benbouhenni, “ Neuro-sconde order sliding mode field oriented control for DFIG based wind turbine,” International Journal of Smart Grid, Vol. 2, No. 4, pp. 209-217, 2018.
[11] 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.
[12] A. Bouyekni, R. Taleb, Z. Boudjema, H. Kahal, “ A second-order continuous sliding mode based on DPC for wind-turbine-driven DFIG, ” Elektrotehniški Vestnik, Vol. 85, No.1-2, pp. 29-36, 2018.
[13] M. Benkahla, R. Taleb, Z. Boudjema, “Comparative study of robust control strategies for a DFIG-based wind turbine,” International Journal of Advanced Computer Science and Applications, Vol. 7, No. 2, pp. 455-462, 2016.
[14] A. Izanlo, S. A. Gholamian, M. V. Kazemi, “Comparative study between two sensorless methods for direct power control of doubly fed induction generator,” Rev. Roum. Sci. Techn.-Electrotechn. Et Energ, Vol. 62, No. 4, pp. 358-364, 2017.
[15] H. Benbouhenni, Z. Boudjema, A. Belaidi, “ DFIG-based wind turbine system using three-level neural space vector modulation technique, ” Majlesi Journal of Mechatronic Systems, Vol. 7, No. 2, pp. 35-45, 2018.
[16] S. Allirani, V. B. T. Raaj, “ Development of space vector pulse width modulation algorithm for voltage source inverter using dsPIC controller 30F4011, ” International Journal of Pure and Applied Mathematics, Vol. 114, No. 9, pp. 257-269, 2017.
[17] N. Mekkaoui, M. Naït-Saïd, “ Direct s-power control for a doubly fed induction generator, ” Rev. Roum. Sci. Techn.-Electrotechn. Et Energ, Vol. 62, No. 4, pp. 365-370, 2017.
[18] H. Benbouhenni, Z. Boudjema, A. Belaidi, “A comparative study between four-level NSVM and three-level NSVM technique for a DFIG-based WECSs controlled by indirect vector control,” Carpathian Journal of Electronic and Computer Engineering, Vol. 11, No. 2, pp.13-19, 2018.
[19] H. Benbouhenni, Z. Boudjema, A. Belaidi, “ Using three-level Fuzzy space vector modulation method to improve indirect vector control strategy of a DFIG based wind energy conversion systems,” International Journal of Smart Grid, Vol. 2, No. 3, pp. 155-171, 2018.
[20] D. C. Sekhar, G. V. Marutheshwar, “Modeling and field oriented control of induction motor by using an adaptive neuro fuzzy interference system control technique,” International Journal of Industriel Electronics and Electrical Engineering, Vol. 2, No. 10, pp. 75-81, 2014.
[21] K. R. Angeline, T. Pidikiti, S. K. B. Yadlapati, “Modeling and simulation of ANFIS controlled doubly fed induction generator based wind energy system for performance enhancement,” IJCTA, Vol. 10, No. 5, pp. 61-73, 2017.
[22] H. Benbouhenni, Z. Boudjema, A. Belaidi, “ DFIG-based wind turbine system using four-level FSVM strategy,” Majlesi Journal of Energy Management, Vol. 6, No. 3, 2017.
[2] 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.
[3] Z. Boudjema, R. Taleb, A. Yahdou, “A new DTC scheme using second order sliding mode and fuzzy logic of a DFIG for wind turbine system,” International Journal of Advanced Computer Science and Applications, Vol. 7, No. 8, pp.49-56, 2016.
[4] S. E. Ardjoun, M. Abid, “ Fuzzy sliding mode control applied to a doubly fed induction generator for wind turbines, ” Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 23, pp. 1673- 1686, 2015.
[5] H. Benbouhenni, “Sliding mode with neural network regulator for DFIG using two-level NPWM inverter,” Iranian Journal of Electrical and Electronic Engineering, Vol. 15, No. 3, 2019.
[6] D. Kairous, R. Wamkeue, “DFIG-based fuzzy sliding-mode control of WECS with a flywheel energy storage,” Electr. Power Syst. Res., Vol. 93, pp. 16.23, 2012.
[7] 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. 4, pp. 1- 11, 2016.
[8] H. Benbouhenni, “ 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, Vol. 7, No. 3, 2018.
[9] 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 and Electronic Engineering, Vol.14, No. 3, pp.362-373, 2018.
[10] H. Benbouhenni, “ Neuro-sconde order sliding mode field oriented control for DFIG based wind turbine,” International Journal of Smart Grid, Vol. 2, No. 4, pp. 209-217, 2018.
[11] 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.
[12] A. Bouyekni, R. Taleb, Z. Boudjema, H. Kahal, “ A second-order continuous sliding mode based on DPC for wind-turbine-driven DFIG, ” Elektrotehniški Vestnik, Vol. 85, No.1-2, pp. 29-36, 2018.
[13] M. Benkahla, R. Taleb, Z. Boudjema, “Comparative study of robust control strategies for a DFIG-based wind turbine,” International Journal of Advanced Computer Science and Applications, Vol. 7, No. 2, pp. 455-462, 2016.
[14] A. Izanlo, S. A. Gholamian, M. V. Kazemi, “Comparative study between two sensorless methods for direct power control of doubly fed induction generator,” Rev. Roum. Sci. Techn.-Electrotechn. Et Energ, Vol. 62, No. 4, pp. 358-364, 2017.
[15] H. Benbouhenni, Z. Boudjema, A. Belaidi, “ DFIG-based wind turbine system using three-level neural space vector modulation technique, ” Majlesi Journal of Mechatronic Systems, Vol. 7, No. 2, pp. 35-45, 2018.
[16] S. Allirani, V. B. T. Raaj, “ Development of space vector pulse width modulation algorithm for voltage source inverter using dsPIC controller 30F4011, ” International Journal of Pure and Applied Mathematics, Vol. 114, No. 9, pp. 257-269, 2017.
[17] N. Mekkaoui, M. Naït-Saïd, “ Direct s-power control for a doubly fed induction generator, ” Rev. Roum. Sci. Techn.-Electrotechn. Et Energ, Vol. 62, No. 4, pp. 365-370, 2017.
[18] H. Benbouhenni, Z. Boudjema, A. Belaidi, “A comparative study between four-level NSVM and three-level NSVM technique for a DFIG-based WECSs controlled by indirect vector control,” Carpathian Journal of Electronic and Computer Engineering, Vol. 11, No. 2, pp.13-19, 2018.
[19] H. Benbouhenni, Z. Boudjema, A. Belaidi, “ Using three-level Fuzzy space vector modulation method to improve indirect vector control strategy of a DFIG based wind energy conversion systems,” International Journal of Smart Grid, Vol. 2, No. 3, pp. 155-171, 2018.
[20] D. C. Sekhar, G. V. Marutheshwar, “Modeling and field oriented control of induction motor by using an adaptive neuro fuzzy interference system control technique,” International Journal of Industriel Electronics and Electrical Engineering, Vol. 2, No. 10, pp. 75-81, 2014.
[21] K. R. Angeline, T. Pidikiti, S. K. B. Yadlapati, “Modeling and simulation of ANFIS controlled doubly fed induction generator based wind energy system for performance enhancement,” IJCTA, Vol. 10, No. 5, pp. 61-73, 2017.
[22] H. Benbouhenni, Z. Boudjema, A. Belaidi, “ DFIG-based wind turbine system using four-level FSVM strategy,” Majlesi Journal of Energy Management, Vol. 6, No. 3, 2017.
Published
2019-03-01
How to Cite
Benbouhenni, H. (2019). Second Order Sliding Mode with ANFIS Controllers for DFIG using Seven-level NSVPWM Technique. Majlesi Journal of Energy Management, 8(1), 29-39. Retrieved from https://em.majlesi.info/index.php/em/article/view/379
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