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Impedance measurement based on binary tree and stack structure

机译:基于二叉树和堆栈结构的阻抗测量

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Power electronic based systems are prone to negative impedance instability due to the constant-power nature of the individual components. When designing these systems, impedance measurement is very important because of the close relationship between impedance and stability. The method by injecting a series of sinusoidal perturbation signals to the system is the most widely used one, but there are still some problems. The frequencies of the injection signals are often given by tests, which is not suitable for all situations. The accurate results of some networks can be obtained by measuring only several points but some are not. It is hard to determine what frequencies should be injected into the network to obtain an accurate result because the impedance is unknown for test otherwise you do not need to do the measurement. In this paper, a method based on binary tree and stack structure is proposed to determine the frequencies of injected signals automatically. In this method, impedance measurement is treated as a process of finding a piecewise linear interpolation function by mathematical abstraction and some theories of numerical analysis are used to solve the problem. Compared to the traditional one by one injection with a constant step which has been set by tester before the measurement starts, the proposed method can automatically select a large step to save test time when the impedance changes slow and a small step to make the results be accurate when the impedance changes dramatically, which is more optimized. The simulation results demonstrate the effectiveness of this new method.
机译:基于功率电子的系统由于各个组件的恒定功率特性而易于产生负阻抗不稳定性​​。在设计这些系统时,由于阻抗与稳定性之间的密切关系,阻抗测量非常重要。通过向系统注入一系列正弦扰动信号的方法是使用最广泛的方法,但是仍然存在一些问题。注入信号的频率通常由测试给出,这并不适合所有情况。某些网络的准确结果可以通过仅测量几个点而获得,而某些则不能。由于要测试的阻抗未知,因此很难确定应将哪些频率注入网络以获取准确的结果,否则无需进行测量。提出了一种基于二叉树和堆栈结构的自动确定注入信号频率的方法。在这种方法中,将阻抗测量视为通过数学抽象找到分段线性插值函数的过程,并使用一些数值分析理论来解决该问题。与传统的在测量开始之前由测试仪设置的具有恒定步长的一对一进样相比,该方法可以在阻抗变化缓慢时自动选择一个较大的步长以节省测试时间,而通过一个较小的步长即可使测量结果稳定。当阻抗急剧变化时,精度更高,这是更优化的。仿真结果证明了该方法的有效性。

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