Fuzzy Super-Twisting Sliding Mode Controller for Switched Reluctance Wind Power Generator in Low-Voltage DC Microgrid Applications

Zeineb Touati, Imed Mahmoud, Rui Esteves Araújo () and Adel Khedher
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Zeineb Touati: LATIS—Laboratory of Advanced Technology and Intelligent Systems, National Engineering School of Sousse, University of Sousse, Sousse 4023, Tunisia
Imed Mahmoud: LATIS—Laboratory of Advanced Technology and Intelligent Systems, Higher Institute of Applied Sciences and Technology of Mahdia, University of Monastir, Mahdia 5121, Tunisia
Rui Esteves Araújo: Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) and Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal
Adel Khedher: LATIS—Laboratory of Advanced Technology and Intelligent Systems, National Engineering School of Sousse, University of Sousse, Sousse 4023, Tunisia

Energies, 2024, vol. 17, issue 6, 1-24

Abstract: There is limited research focused on achieving optimal torque control performance of Switched Reluctance Generators (SRGs). The majority of existing studies tend to favor voltage or power control strategies. However, a significant drawback of SRGs is their susceptibility to high torque ripple. In power generation systems, torque ripple implicates fluctuations in the generated power of the generator. Moreover, high torque ripple can lead to mechanical vibrations and noise in the powertrain, impacting the overall system performance. In this paper, a Torque Sharing Function (TSF) with Indirect Instantaneous Torque Control (IITC) for SRG applied to Wind Energy Conversion Systems (WECS) is proposed to minimize torque ripple. The proposed method adjusts the shared reference torque function between the phases based on instantaneous torque, rather than the existing TSF methods formulated with a mathematical expression. Additionally, this paper introduces an innovative speed control scheme for SRG drive using a Fuzzy Super-Twisting Sliding Mode Command (FSTSMC) method. Notably robust against parameter uncertainties and payload disturbances, the proposed scheme ensures finite-time convergence even in the presence of external disturbances, while effectively reducing chattering. To assess the effectiveness of the proposed methods, comprehensive comparisons are made with traditional control techniques, including Proportional–Integral (PI), Integral Sliding Mode Control (ISMC), and Super-Twisting Sliding Mode Control (STSMC). The simulation results, obtained using MATLAB ® /SIMULINK ® under various speeds and mechanical torque conditions, demonstrate the superior performance and robustness of the proposed approaches. This study presents a thorough experimental analysis of a 250 W four-phase 8/6 SRG. The generator was connected to a DC resistive load, and the analysis focuses on assessing its performance and operational characteristics across different rotational speeds. The primary objective is to validate and confirm the efficacy of the SRG under varying conditions.

Keywords: wind energy conversion; switched reluctance generator; torque control; sliding mode control; fuzzy control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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