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Capacitance Online Estimation Based on Adaptive Model Observer

机译:基于自适应模型观测器的电容在线估计

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As a basic component in electrical and electronic devices, capacitors are very popular in electrical circuits. Conventional capacitors such as electrotype capacitors are easy to degradation, aging and fatigue due to long‐time running and outer damages such as mechanical and electrical stresses. In this paper, a novel online capacitance measurement/estimation approach is proposed. Firstly, an Adaptive Model Observer (AMO) is designed based on the capacitor's circuit equations. Secondly, the AMO’s stability and convergence are analysed and discussed. Finally, Capacitors with different capacitance and different initial voltages in a buck converter topology are tested and validated. Simulation results demonstrate the effectiveness and superiority of our proposed approach.
机译:作为电气和电子设备的基本组件,电容器在电路中非常流行。常规电容器(例如电型电容器)由于长期运行以及外部损坏(例如机械应力和电应力)而容易退化,老化和疲劳。本文提出了一种新颖的在线电容测量/估计方法。首先,根据电容器的电路方程设计了一个自适应模型观测器(AMO)。其次,对AMO的稳定性和收敛性进行了分析和讨论。最后,测试并验证了降压转换器拓扑中具有不同电容和不同初始电压的电容器。仿真结果证明了我们提出的方法的有效性和优越性。

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