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Analysis the robustness of control systems based on disturbance observer

机译:基于干扰观测器的控制系统鲁棒性分析

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Disturbance observer (DOB) estimates the system disturbances by using the inverse of the nominal plant model and a low pass filter (LPF). Although the LPF provides the properness in the inner-loop, it is the main design constraint of the control systems based on DOB. The bandwidth of the LPF is designed as high as possible so that the DOB can estimate the disturbances in a wider frequency range. However, its bandwidth is limited by noise and robustness of the system. The robustness limitation is directly related with the robustness analysis methods, and they significantly affect the performance of the DOB based control systems. In this paper, three different robustness analysis methods are implemented into the DOB based control systems, and the relation between the robustness of the system and bandwidth of DOB is clearly explained. The conservatism, which is the main drawback of the conventional analysis methods, on the bandwidth of DOB is removed by proposing a new real parametric uncertainty based analysis method. The proposed methods are compared in detail, and simulation results are given to show the validation.
机译:干扰观测器(DOB)通过使用标称工厂模型的逆函数和低通滤波器(LPF)来估计系统干扰。尽管LPF在内部循环中提供了适当性,但它是基于DOB的控制系统的主要设计约束。 LPF的带宽被设计得尽可能高,以便DOB可以在更宽的频率范围内估计干扰。但是,其带宽受到系统噪声和鲁棒性的限制。鲁棒性限制与鲁棒性分析方法直接相关,它们会严重影响基于DOB的控制系统的性能。本文在基于DOB的控制系统中实现了三种不同的鲁棒性分析方法,并明确说明了系统的鲁棒性与DOB带宽之间的关系。通过提出一种新的基于实参不确定性的分析方法,消除了传统分析方法的主要缺点,即对DOB带宽的保守性。对提出的方法进行了详细的比较,并给出了仿真结果以验证其有效性。

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