Volume 19, Issue 1 (March 2023)                   IJEEE 2023, 19(1): 2405-2405 | Back to browse issues page


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Ehsani M, Oraee A, Abdi B, Behnamgol V, Hakimi S M. Adaptive Dynamic Sliding Mode Algorithm for BDFIG Control. IJEEE 2023; 19 (1) :2405-2405
URL: http://ijeee.iust.ac.ir/article-1-2405-en.html
Abstract:   (870 Views)

A novel nonlinear controller is proposed to track active and reactive power for a Brushless Doubly-Fed Induction Generator (BDFIG) wind turbine. Due to nonlinear dynamics and the presence of parametric uncertainties and perturbations in this system, sliding mode control is employed. To generate a smooth control signal, dynamic sliding mode method is used. Uncertainties bound is not required in the suggested algorithm, since the adaptive gain in the controller relation is used in this study. Convergence of the sliding variable to zero and adaptive gain to the uncertainty bound are verified using Lyapunov stability theorem. The proposed controller is evaluated in a comprehensive simulation on the BDFIG model. Moreover, output performance of the proposed control algorithm is compared to the conventional and second-order sliding mode and proportional-integral-derivative (PID) controllers.

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Type of Study: Research Paper | Subject: Nonlinear Control
Received: 2022/01/24 | Revised: 2023/06/06 | Accepted: 2022/10/17

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.