This paper proposes a fuzzy-observer-based control algorithm to improve the efficiency of traction dual rectifiers of high-speed trains and address the low-frequency oscillation issue induced by the interaction of the DC-link voltage controller with the traction dual rectifiers circuit parameters. The proposed observer checks for the errors in the system model by estimating the system premise variables, and the fuzzy controller then accurately compensates the estimated variables. The method is deduced from the Takagi-Sugeno fuzzy logic model, which is described by a class of IF-THEN fuzzy systems. Fast computation with high precision is what makes them superior to proportional-integral-derivatives controllers. Their capability to deal with nonlinearity in time-varying systems makes them a suitable choice for traction dual rectifier control. The simulation model is formed in SIMULINK, and the waveforms are checked with a conventional fuzzy controller, predictive control, and conventional proportional-integral control. The proposed method can achieve better performance, such as fast transient, more damping, and small overshoot. Furthermore, the method can maintain stability when the system is subjected to external disturbance. In the end, hardware-in-the-loop experiments are performed to validate the proposed control algorithm.

中文翻译：

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高速列车牵引双整流器的基于模糊观测器的控制

本文提出了一种基于模糊观测器的控制算法，以提高高速列车牵引式双整流器的效率，并解决直流母线电压控制器与牵引式双整流器电路参数的相互作用所引起的低频振荡问题。 。拟议的观察者通过估计系统前提变量来检查系统模型中的错误，然后模糊控制器精确地补偿估计的变量。该方法是从Takagi-Sugeno模糊逻辑模型推导出来的，该模型由一类IF-THEN模糊系统描述。高精度的快速计算使它们优于比例积分微分控制器。它们具有时变系统的非线性处理能力，使其成为牵引力双整流器控制的合适选择。在SIMULINK中形成仿真模型，并使用常规的模糊控制器，预测控制和常规的比例积分控制检查波形。所提出的方法可以实现更好的性能，例如快速瞬变，更大的阻尼和较小的过冲。此外，当系统受到外部干扰时，该方法可以保持稳定性。最后，进行了硬件在环实验，以验证所提出的控制算法。当系统受到外部干扰时，该方法可以保持稳定性。最后，进行了硬件在环实验，以验证所提出的控制算法。当系统受到外部干扰时，该方法可以保持稳定性。最后，进行了硬件在环实验，以验证所提出的控制算法。