Volume 14, Issue 1 (March 2018)                   IJEEE 2018, 14(1): 11-21 | Back to browse issues page

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Pour Ebrahim R, Tohidi S, Younesi A. Sensorless Model Reference Adaptive Control of DFIG by Using High Frequency Signal Injection and Fuzzy Logic Control. IJEEE 2018; 14 (1) :11-21
URL: http://ijeee.iust.ac.ir/article-1-1134-en.html
Sensorless Model Reference Adaptive Control of DFIG by Using High Frequency Signal Injection and Fuzzy Logic Control
R. Pour Ebrahim , S. Tohidi , A. Younesi
Abstract:   (4704 Views)
In this paper, a new sensorless model reference adaptive method is used for direct control of active and reactive power of the doubly fed induction generator (DFIG). In order to estimate the rotor speed, a high frequency signal injection scheme is implemented. In this study, to improve the accuracy of speed estimation, two methods are suggested. First, the coefficients of proportional-integral (PI) blocks are optimized by using Krill Herd algorithm. In the second method, the fuzzy logic control method is applied in the estimator structure instead of PI controllers. The simulation results for the proposed methods illustrate that the estimated speed perfectly matches the actual speed of the DFIG. In addition, the desired slip value is achieved due to the accurate response. On the other hand, the active and reactive power responses have fast dynamics and relatively low oscillations. Moreover, the fuzzy controller shows more robustness against the variations of machine parameters.
Keywords: Doubly Fed Induction Generator , Sensorless Control , High Frequency Signal Injection , Fuzzy Logic Control , Krill Herd Optimization Algorithm
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Type of Study: Research Paper | Subject: Electrical Drives
Received: 2017/07/16 | Revised: 2018/03/02 | Accepted: 2018/02/08
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© 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.