Bahgat Mohamed, Ezzat Mohamed, Attia Mahmoud A, Mekhamer S F, Elbehairy Nourhan M
Electrical Power and Machines Department, Ain Shams University, Cairo, Egypt.
Electrical Engineering Department, Future University, New Cairo, Egypt.
Sci Rep. 2025 Jan 14;15(1):1954. doi: 10.1038/s41598-024-85073-w.
This research is dedicated to improving the control system of wind turbines (WT) to ensure optimal efficiency and rapid responsiveness. To achieve this, the fuzzy logic control (FLC) method is implemented to control the converter in the rotor side (RSC) of a doubly fed induction generator (DFIG) and its performance is compared with an optimized proportional integral (PI) controller. The study demonstrated an enhancement in the performance of the DFIG through the utilization of the proposed FLC, effectively overcoming limitations and deficiencies observed in the conventional controllers, this approach significantly improved the performance of the wind turbine. Additionally, the selected membership functions were found to be highly compatible with the unique characteristics of wind energy. The optimization process is implemented for the controllers of both the grid side converter (GSC) and RSC. Through simulated analyses conducted using MATLAB/Simulink software, comprehensive assessments are carried out. The robustness of the FLC is evaluated compared to the optimized controllers across various wind profiles and challenging fault conditions. The results demonstrate satisfactory performance of the FLC in terms of steady-state time, stability, and precision under diverse wind speed profiles. The FLC achieves a significantly better settling time than the enhanced PI, improving by approximately 14-70% under normal conditions and 40-70% under various fault conditions. Additionally, the FLC outperforms the enhanced PI in fault conditions by reducing peak-to-peak oscillations by about 30-65%. It also delivers a smaller steady-state error, with improvements of around 2-4% under both normal conditions and most fault scenarios.
本研究致力于改进风力涡轮机（WT）的控制系统，以确保最佳效率和快速响应能力。为此，采用模糊逻辑控制（FLC）方法来控制双馈感应发电机（DFIG）转子侧（RSC）的变流器，并将其性能与优化的比例积分（PI）控制器进行比较。研究表明，通过使用所提出的FLC，DFIG的性能得到了提升，有效克服了传统控制器中观察到的局限性和不足，这种方法显著提高了风力涡轮机的性能。此外，发现所选的隶属函数与风能的独特特性高度兼容。对电网侧变流器（GSC）和RSC的控制器都进行了优化过程。通过使用MATLAB/Simulink软件进行的模拟分析，进行了全面评估。与优化后的控制器相比，在各种风况和具有挑战性的故障条件下评估了FLC的鲁棒性。结果表明，在不同风速剖面下，FLC在稳态时间、稳定性和精度方面具有令人满意的性能。FLC的建立时间比增强型PI明显更好，在正常条件下提高了约14 - 70%，在各种故障条件下提高了40 - 70%。此外，在故障条件下，FLC通过将峰峰值振荡降低约30 - 65%，表现优于增强型PI。它还具有更小的稳态误差，在正常条件和大多数故障情况下都有大约2 - 4%的改善。
