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ANN approach for analysis of actuation voltage behavior of RF MEMS capacitive switches

机译:ANN方法分析RF MEMS电容开关的激励电压行为

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RF MEMS switches applications in communication systems have been increased in the recent time, creating a need for reliable and accurate switch models. This paper deals with the switch models based on the artificial neural networks. In particular, a model relating the switch actuation voltage and the switch geometry is considered. The model allows fast and efficient analysis of switch actuation voltage behavior, requiring significantly shorter time for the same analyses than standard mechanical simulators. The change of actuation voltage with the tolerances in the bridge dimensions is studied as well.
机译:近年来,RF MEMS开关在通信系统中的应用有所增加,因此需要可靠而准确的开关模型。本文研究了基于人工神经网络的开关模型。特别地,考虑了与开关致动电压和开关几何形状有关的模型。该模型允许对开关驱动电压行为进行快速而有效的分析,与标准机械模拟器相比,相同分析所需的时间大大缩短。还研究了驱动电压随电桥尺寸公差的变化。

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