ANFIS-Based Speed Control of Switched Reluctance Generators for Wind Energy Systems

Ghanizadeh, Reza; Parsafar, Amir

doi:10.48301/jear.2025.501095.1075

ANFIS-Based Speed Control of Switched Reluctance Generators for Wind Energy Systems

Document Type : Original Article

Authors

Reza Ghanizadeh ¹

Amir Parsafar ²

¹ Department of Electrical Engineering, Ur.C., Islamic Azad University, Urmia, Iran

² Department of Electrical Engineering, Artificial Intelligence and Big Data Automation Research Center, Ur.C., Islamic Azad University, Urmia, Iran

10.48301/jear.2025.501095.1075

Abstract

Due to their variable speed operation, the use of switched reluctance generators (SRGs) in wind energy systems is more complex compared to conventional generators in this industry. The unique structure of SRGs makes their control more challenging. However, their simple and robust construction, along with lower cost, makes them an attractive option for wind turbines. This paper introduces a novel approach for controlling the speed of SRGs using an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller. In this setup, the SRG is powered by a variable speed wind turbine and connected to the power grid through an asymmetric half-bridge converter, a DC-link, and a DC-AC inverter. Effective speed regulation is essential to maximize power output at varying wind speeds. We provide a comprehensive analysis of the SRG’s modeling and control strategies, along with detailed descriptions of the wind turbine, converter, and inverter components. The proposed system's performance is validated through simulations based on variable wind speed data with Matlab/Simulink demonstrate the efficacy and robustness of our control methodology.

Keywords

switched reluctance generator

variable speed generator

adaptive control

adaptive neuro-fuzzy inference system

wind turbine

Subjects

Electrical Engineering

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