Signe Romain Kengne, Motto Frederic Biya
Department of Physics, Faculty of Sciences, University of Yaoundé 1, Yaoundé, PO.BOX 812, Cameroon.
Heliyon. 2024 Aug 2;10(15):e35035. doi: 10.1016/j.heliyon.2024.e35035. eCollection 2024 Aug 15.
A novel intelligent stabilizer is designed to address the issue of low-frequency electromechanical oscillations in a synchronous generator in this article. This stabilizer incorporates three controllers: a three-level sliding mode controller, a fuzzy logic controller, and a proportional-integral-derivative (PID) controller enhanced through genetic algorithm optimization. The discontinuous segments of the first two levels of the sliding mode controller are substituted with fuzzy-PID links, utilizing error and its rate of change to adjust stabilizer parameters. The discontinuous portion of the third level is replaced by a saturation function to constrain current within permissible limits. The advantage of this proposed controller is that it integrates the benefits of the three constituent controllers and is capable of handling a wide range of disturbances. Additionally, thanks to the fuzzy engine, which considers error variations, there is no longer a need to calculate the error derivative, which could amplify measurement noise. The proposed stabilizer is compared to available literature results. As a result, the proposed stabilizer exhibits an undershoot of -0.003, an overshoot of 0.001, a response time of 0.01s, high robustness for parameter variations ranging from 0.5 to 4 times the nominal value, and very rapid suppression of oscillations compared to other controllers.
本文设计了一种新型智能稳定器，以解决同步发电机中的低频机电振荡问题。该稳定器包含三个控制器：一个三电平滑模控制器、一个模糊逻辑控制器和一个通过遗传算法优化增强的比例积分微分（PID）控制器。滑模控制器前两级的不连续段用模糊PID环节代替，利用误差及其变化率来调整稳定器参数。第三级的不连续部分用饱和函数代替，以将电流限制在允许范围内。该提出的控制器的优点是它集成了三个组成控制器的优点，并且能够处理各种干扰。此外，由于模糊引擎考虑了误差变化，不再需要计算可能放大测量噪声的误差导数。将提出的稳定器与现有文献结果进行了比较。结果，提出的稳定器表现出-0.003的下冲、0.001的上冲、0.01s的响应时间、对0.5至4倍标称值范围内的参数变化具有高鲁棒性，并且与其他控制器相比能够非常快速地抑制振荡。
