Sliding Mode of Second-Order Control Based on Super-Twisting ANFIS Algorithm of Doubly Fed Induction Generator in Wind Turbines Systems with Real Variable Speeds

Al-Mashhadany YI, Ahmed YA (2020) Optimal DC machines performance based on intelligent controller. In: IOP conference series: materials science and engineering (Vol 917, No. 1, p 012084). https://doi.org/10.1088/1757-899X/917/1/012084

Djilali L, Badillo-Olvera A, Rios YY, López-Beltrán H, Saihi L (2021) Neural high order sliding mode control for doubly fed induction generator based wind turbines. IEEE Lat Am Trans 20(2):223–232. https://doi.org/10.1109/TLA.2022.9661461

Farid B, Tarek B, Sebti B (2021) Fuzzy super twisting algorithm dual direct torque control of doubly fed induction machine. Int. J. Electr. Comput. Eng 11:3782–3790. https://doi.org/10.11591/ijece.v11i5.pp3782-3790

Gamage D, Zhang X, Ukil A, Wanigasekara C, Swain A (2021) Design of ANFIS controller for a DC microgrid. In: 2020 3rd International conference on energy, power and environment: towards clean energy technologies (pp 1–6) https://doi.org/10.1109/ICEPE50861.2021.9404439

Harrabi N, Kharrat M, Aitouche A, Souissi M (2018) Control strategies for the grid side converter in a wind generation system based on a fuzzy approach. Int J Appl Math Computer Sci. https://doi.org/10.2478/amcs-2018-0023

Hemeyine AV, Abbou A, Tidjani N, Mokhlis M, Bakouri A (2020) Robust Takagi Sugeno fuzzy models control for a variable speed wind turbine based a DFI-generator. Int J Intell Eng Syst 13(3):90–100. https://doi.org/10.22266/ijies2020.0630.09

Heng CT, Jamaludin Z, Hashim AYB, Abdullah L, Rafan NA (2017) Design of super twisting algorithm for chattering suppression in machine tools. Int J Control Autom Syst 15(3):1259–1266. https://doi.org/10.1007/s12555-016-0106-7

Islam MA, Singh JG, Jahan I, Lipu MH, Jamal T, Elavarasan RM, Mihet-Popa L (2021) Modeling and performance evaluation of ANFIS controller-based bidirectional power management scheme in plug-in electric vehicles integrated with electric grid. IEEE Access 9:166762–166780. https://doi.org/10.1109/ACCESS.2021.3135190

Jaladi KK, Kumar S, Saini LM (2020) ANFIS controlled grid connected electric vehicle charging station using pv source. In: 2020 first ieee international conference on measurement, instrumentation, control and automation (ICMICA) (pp 1–5) https://doi.org/10.1109/ICMICA48462.2020.9242717

Kelkoul B, Boumediene A (2021) Stability analysis and study between classical sliding mode control (SMC) and super twisting algorithm (STA) for doubly fed induction generator (DFIG) under wind turbine. Energy 214:118871. https://doi.org/10.1016/j.energy.2020.118871

Liu Y, Wang Z, Xiong L, Wang J, Jiang X, Bai G, Liu S (2018) DFIG wind turbine sliding mode control with exponential reaching law under variable wind speed. Int J Electric Power Energy Syst 96:253–260. https://doi.org/10.1016/j.ijepes.2017.10.018

Roummani K, Hamouda M, Mazari B, Bendjebbar M, Koussa K, Ferroudji F, Necaibia A (2019) A new concept in direct-driven vertical axis wind energy conversion system under real wind speed with robust stator power control. Renew Energy 143:478–487. https://doi.org/10.1016/j.renene.2019.04.156

Saihi L, Bakou Y, Ferroudji F, Hadidi A, Oulimar I (2022b) A hybrid H∞-MRAS observer of wind turbines conversion systems based on DFIG. Algerian J Renew Energy Sustain Develop 4(01):101–110

Saihi L, Berbaoui B, Glaoui H, Djilali L, Abdeldjalil S (2020b) Robust sliding mode H∞ controller of DFIG based on variable speed wind energy conversion system. Periodica Polytechnica Electric Eng Computer Sci 64(1):53–63. https://doi.org/10.3311/PPee.14490

Saihi L, Berrbaoui B, Glaoui H (2020a) Robust control H∞ fuzzy of a doubly fed induction generator integrated to wind power system. Majlesi J Electric Eng 14(1), 59–69 http://mjee.iaumajlesi.ac.ir/index/index.php/ee/article/view/2981

Saihi L, Ferroudji F, Berbaoui B, Koussa K, Roummani K, Bakou Y (2021) Sliding mode fuzzy MPPT controller of a wind turbine system based on DFIG. In: International Conference on Artificial Intelligence in Renewable Energetic Systems (pp 604–612) https://doi.org/10.1007/978-3-030-92038-8_60

Saihi L, Bakou Y, Harrouz A, Boura M, Colak I, Kayisli K (2022a) Fuzzy-sliding mode control second order of wind turbine based on DFIG. In: 2022a 10th international conference on smart grid (icSmartGrid) (pp 296–300) https://doi.org/10.1109/icSmartGrid55722.2022a.9848587

Saihi L, Berbaoui B, Ferroudji F, Bakou Y, Koussa K, Roummani K, Toumi K (2019) Super twisting high order sliding mode control of vertical axis wind turbine with direct attack based on doubly fed induction generators. In: International Conference in Artificial Intelligence in Renewable Energetic Systems (pp 184–194) https://doi.org/10.1007/978-3-030-37207-1_19

Sami I, Ullah S, Ali Z, Ullah N, Ro JS (2020) A super twisting fractional order terminal sliding mode control for DFIG-based wind energy conversion system. Energies 13(9):2158. https://doi.org/10.3390/en13092158

Xiong L, Li P, Wu F, Ma M, Khan MW, Wang J (2019) A coordinated high-order sliding mode control of DFIG wind turbine for power optimization and grid synchronization. Int J Electr Power Energy Syst 105:679–689. https://doi.org/10.1016/j.ijepes.2018.09.008

Yaichi I, Semmah A, Wira P (2020) Neuro-second order sliding mode control of a DFIG based wind turbine system J Electric Electron Eng 13(1), 63–68 https://hal.archives-ouvertes.fr/hal-03544851

Üstünışık E, Kırlı A (2019) Design and simulation of ANFIS controller for increasing the accuracy of leaf spring test bench. Procedia Computer Sci 158:169–176. https://doi.org/10.1016/j.procs.2019.09.040