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Stability Studies of Critical DC Power System Component for More Electric Aircraft using μ Sensitivity

机译:用于更多电气飞机的关键直流电力系统组件的稳定性研究使用μ灵敏度

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In this paper an approach for stability analysis of power systems for "More Electric Aircraft" (MEA) using μ sensitivity is proposed. The application of the proposed approach is illustrated via a regulated buck converter as a typical critical component in a power system. Due to the negative resistance at low frequencies the regulated buck converter could be unstable in combination with the input filter. A typical regulated buck converter is first modelled in the simulation package Dymola. The model equations are transferred to Maple or Matlab with a Dymola toolbox and symbolically linearized at steady state conditions. For computing μ sensitivity it is necessary to get a Linear Fractional Representation (LFR) of the buck converter. This is done by using the enhanced LFR Toolbox 2.0. Finally, the μ sensitivity is computed with the Robust Control Toolbox 3.1.1 of Mathworks. Compared with other methods for small signal stability, e.g. Middlebrook criterion and Modal Analysis, the μ sensitivity approach gives a much more global and direct result for the influence of all components on stability.
机译:本文提出了一种利用μ灵敏度的“更多电气飞机”(MEA)电力系统稳定性分析方法。通过调节的降压转换器示出所提出的方法的应用作为电力系统中的典型关键部件。由于低频下的负电阻,调节的降压转换器可以与输入滤波器组合不稳定。典型的调节降压转换器首先在模拟封装Dymola中进行建模。模型方程用Dymola工具箱转移到Maple或Matlab,并在稳态条件下象征性地线性化。为了计算μ灵敏度,需要获得降压转换器的线性分数表示(LFR)。这是通过使用增强的LFR工具箱2.0来完成的。最后,使用Mathworks的强大控制工具箱3.1.1计算μ灵敏度。与其他小信号稳定性的方法相比,例如,如此。中间体标准和模态分析,μ灵敏度方法为所有组件对稳定性的影响提供了更加全球性和直接的结果。

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