Second Order Sliding Mode with ANFIS Controllers for DFIG using Seven-level NSVPWM Technique

  • Habib Benbouhenni Ecole Nationale Polytechnique d'Oran Maurice Audin, Oran, Algeria
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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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 http://journals.iaumajlesi.ac.ir/em/index/index.php/em/article/view/379
Section
Articles

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