Instantaneous torque error compensation based online torque sharing function for Switched reluctance Machines

Genc, Umut; Tekgün, Burak

doi:10.1016/j.aej.2023.05.085

Cited by 5 publications

(1 citation statement)

References 20 publications

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“…Furthermore, the authors in [18] proposed a Sliding Mode Controller (SMC) with parameter optimization based on a genetic algorithm to build and adjust the output voltage of SRGs. Nevertheless, appropriate techniques for reducing torque ripple for machines operating as generators are rarely discussed in the literature, but numerous recent publications have addressed torque control in reluctance motors [19][20][21]. Various control strategies, including Indirect Instantaneous Torque Control (IITC), Torque Sharing Function (TSF), and Direct Torque Control (DTC), have been explored either independently or in a combined manner.…”

Section: Introductionmentioning

confidence: 99%

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

Touati,

Mahmoud,

Araújo

et al. 2024

Energies

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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.

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