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首页> 外文会议>International Conference on Communications, Devices and Intelligent Systems >A novel design and optimization approach of RF MEMS switch for reconfigurable antenna using ANN method
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A novel design and optimization approach of RF MEMS switch for reconfigurable antenna using ANN method

机译：RF MEMS开关使用ANN方法进行RF MEMS开关的新颖设计与优化方法

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This paper gives the construction and parametric analysis of low loss RF MEMS switch at low DC frequencies up to 8GHz which support reconfigurable antenna devices. The switch used here exhibit excellent RF characteristics in terms of power and current consumption with typical pull-in voltages lies between 1.912 to 2.125V. The switch also exhibit low insertion loss in the range of (0.01 to 0.03dB at DC-3.0GHz and 0.03 to 0.07dB at 3.0–8GHz) in on condition and with reasonable isolation (9dB at DC- 3.0GHz and 9dB to 17dB at 3.0–8.0GHz) at off position. Further the return loss in up and down states are calculated as −40 to −32dB and less than −0.16dB at DC-8GHz respectively. A feed-forward back-propagation (FFBP) algorithm of neural network is also presented for the validation of changing the anchor arm length, width of upper beam and dielectric of RF MEMS switch. The algorithm assembles new data samples during training from finite element method (FEM) based electromagnetic simulation tool HFSS. Results of the ANN are compared with those of the electromagnetic solver. These physical dimensions are varied and design is optimizing for low power consumption and to achieve acceptable level of s-parameters. The developed algorithm allows the optimisation solutions of the design to be carried out by replacing repeated simulations and also provides lesser processing times whilst still retaining an excellent accuracy as compared with finite element modelling. The optimized isolation and insertion loss results are in very good agreement up to 99.5% as compare with the theoretical results.
机译：本文提供了低DC频率低至8GHz的低损耗RF MEMS开关的结构和参数分析，其支持可重新配置的天线设备。这里使用的开关在功率和电流消耗方面表现出优异的RF特性，典型的拉管电压位于1.912至2.125V之间。该开关在条件下，开关在（DC-3.0GHz下的DC-3.0GHz下的0.03至0.07dB为0.03至0.07dB，0.03至0.07db）的情况下，具有合理的隔离（DC-3.0GHz和9dB至17dB的9dB至17dB，在3.0-8.0GHz）处于OFF位置。此外，向上和向下状态的返回损耗计算为＆＃x2212; 40到＆＃x2212; 32db且小于＆＃x2212; 0.16db分别在dc-8ghz。还介绍了神经网络的前馈回传播（FFBP）算法，用于改变锚固臂长度，上光束的宽度和RF MEMS开关的介质的验证。该算法在基于有限元方法（FEM）的电磁仿真工具HFSS训练期间组装新的数据样本。与电磁求解器的结果进行比较。这些物理尺寸变化，设计优化了低功耗，实现了可接受的S参数水平。开发的算法允许通过更换重复的模拟来进行设计的优化解决方案，并且还提供较少的加工时间，同时仍然与有限元建模相比保持出优异的精度。优化的隔离和插入损耗结果与理论结果相比，非常良好的协议高达99.5％。

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