Convergence Enhancement of Super-Twisting Sliding Mode Control Using Artificial Neural Network for DFIG-Based Wind Energy Conversion Systemsopen access
- Authors
- Sami, Irfan; Ullah, Shafaat; Ul Amin, Sareer; Al-Durra, Ahmed; Ullah, Nasim; Ro, Jong-Suk
- Issue Date
- Sep-2022
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Torque control; Stators; Rotors; Convergence; Generators; Uncertainty; Sliding mode control; Artificial intelligence; Wind energy conversion; Induction generators; Power grids; Electricity supply industry; Sliding mode control; wind energy; super-twisting; artificial intelligence
- Citation
- IEEE ACCESS, v.10, pp 97625 - 97641
- Pages
- 17
- Journal Title
- IEEE ACCESS
- Volume
- 10
- Start Page
- 97625
- End Page
- 97641
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/67476
- DOI
- 10.1109/ACCESS.2022.3205632
- ISSN
- 2169-3536
- Abstract
- The smooth and robust injection of wind power into the utility grid requires stable, robust, and simple control strategies. The super-twisting sliding mode control (STSMC), a variant of the sliding mode control (SMC), is an effective approach employed in wind energy systems for providing smooth power transfer, robustness, inherent chattering suppression and error-free control. The STSMC has certain disadvantages of (a) less anti-disturbance capabilities due to the non-linear part that is based on variable approaching law and (b) time delay created by the disturbance and uncertainties. This paper enhances the anti-disturbance capabilities of STSMC by combining the attributes of artificial intelligence with STSMC. Initially, the STSMC is designed for both the inner and outer loop of a doubly fed induction generator (DFIG) based wind energy conversion system (WECS). Then, an artificial neural network (ANN)-based compensation term is added to improve the convergence and anti-disturbance capabilities of STSMC. The proposed ANN based STSMC paradigm is validated using a processor in the loop (PIL) based experimental setup carried out in Matlab/Simulink.
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