Adaptive dynamic sliding mode controller based on extended state observer for brushless doubly fed induction generator

Brushless doubly fed induction generators are widely used in wind turbines and have a nonlinear and complex structure. There are many uncertainties and unmodeled dynamics in the state-of-the-art models presented for these systems. In this article, nonlinear and robust control theory based on the sli...

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Published inInternational journal of dynamics and control Vol. 12; no. 10; pp. 3719 - 3732
Main Authors Ehsani, M., Oraee, A., Abdi, B., Behnamgol, V., Hakimi, M.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2024
Springer Nature B.V
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ISSN2195-268X
2195-2698
DOI10.1007/s40435-024-01459-8

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Abstract Brushless doubly fed induction generators are widely used in wind turbines and have a nonlinear and complex structure. There are many uncertainties and unmodeled dynamics in the state-of-the-art models presented for these systems. In this article, nonlinear and robust control theory based on the sliding mode method is considered for these generators. A dynamic type of sliding mode controller is used to produce a smooth and implementable control signal. The dynamic sliding mode method, although produces a smooth control signal, it needs the upper bound of the uncertainty and its derivative. Therefore, this problem has been solved by adapting controller gains in this article. Another problem of the dynamic sliding mode method is the increase in the demand for data, including the need for the derivative of the sliding variable. To solve this problem, the extended state observer has been used in this research. In addition, the finite-time stability of the closed-loop system has been proved. The performance of the proposed control method has been evaluated by applying computer simulation on an accurate model of a brushless doubly fed induction generator used in a wind turbine.
AbstractList Brushless doubly fed induction generators are widely used in wind turbines and have a nonlinear and complex structure. There are many uncertainties and unmodeled dynamics in the state-of-the-art models presented for these systems. In this article, nonlinear and robust control theory based on the sliding mode method is considered for these generators. A dynamic type of sliding mode controller is used to produce a smooth and implementable control signal. The dynamic sliding mode method, although produces a smooth control signal, it needs the upper bound of the uncertainty and its derivative. Therefore, this problem has been solved by adapting controller gains in this article. Another problem of the dynamic sliding mode method is the increase in the demand for data, including the need for the derivative of the sliding variable. To solve this problem, the extended state observer has been used in this research. In addition, the finite-time stability of the closed-loop system has been proved. The performance of the proposed control method has been evaluated by applying computer simulation on an accurate model of a brushless doubly fed induction generator used in a wind turbine.
Author Abdi, B.
Oraee, A.
Ehsani, M.
Hakimi, M.
Behnamgol, V.
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Snippet Brushless doubly fed induction generators are widely used in wind turbines and have a nonlinear and complex structure. There are many uncertainties and...
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SubjectTerms Closed loops
Complexity
Computer simulation
Control
Control and Systems Theory
Control methods
Control theory
Controllers
Dynamical Systems
Engineering
Feedback control
Induction generators
Nonlinear control
Nonlinear dynamics
Robust control
Sliding mode control
State observers
Uncertainty
Upper bounds
Vibration
Wind turbines
Title Adaptive dynamic sliding mode controller based on extended state observer for brushless doubly fed induction generator
URI https://link.springer.com/article/10.1007/s40435-024-01459-8
https://www.proquest.com/docview/3108243480
Volume 12
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