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Robust Feedback-Linearization Technique for Grid-Tied LCL Filter Systems Using Disturbance Estimation

机译:用于网格绑定的强大反馈线性化技术<斜斜体> LCL 过滤系统使用干扰估计

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摘要

In this paper, feedback linearization (FBL) technique together with disturbance observer (DO) approach is proposed to mitigate the effect of the resonant frequency of grid-tied LCL filter systems. The state-feedback control law is employed to achieve stabilization of the LCL filter system under a wide range of resonant frequency variation. The DO is designed to counteract the effect of model uncertainty and unknown disturbance aiming to achieve asymptotic stability under FBL control. Specifically, the observer is designed to estimate an additional input, representing uncertainty and unknown disturbance, from measurable variables. Then, the FBL control utilizes the disturbance estimate to compensate for its effect. An interesting feature of the composite controller is its ability to meet the transient response specifications even in the presence of model uncertainty and external disturbance. The composite controller was implemented for simulation and experimental evaluation, and performance testing. High performance with respect to disturbance rejection and parameter variation has been demonstrated.
机译:在本文中,提出了与干扰观察者(DO)方法一起的反馈线性化(FBL)技术,以减轻谐振频率的谐振频率的谐振频率的影响。采用国内反馈控制定律在广泛的谐振频率变化下实现LCL过滤系统的稳定化。该做做旨在抵消模型不确定性和未知干扰的效果,旨在实现FBL控制下的渐近稳定性。具体地,观察者旨在从可测量的变量估计代表不确定性和未知干扰的额外输入,表示不确定性和未知干扰。然后,FBL控制利用干扰估计来补偿其效果。即使在存在模型不确定性和外部干扰的情况下,也能够满足瞬态响应规范的有趣功能。已实施复合控制器以进行仿真和实验评估,以及性能测试。已经证明了相对于干扰抑制和参数变化的高性能。

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