Research Initiation Award: Intelligent Control of Electromagnetic Fields

将非常规计算方法应用于许多电磁学（EM）问题，以减少直观分析的数量和放松许多问题的计算强度，存在着巨大的潜力。具体方法的选择取决于应用程序和所分析的数据。本研究最初的重点是改善大畸变卫星反射面天线的辐射特性。初步研究表明，神经网络计算算法可用于表面误差的电磁补偿。与现有的一种方法相比，使用这种智能方法的优点是速度快（允许实时辐射控制）和数据减少。本研究的第一部分涉及将这项新技术推向成熟状态。本研究的最终目标是将这些智能电磁补偿方法应用于与电子设备相关的电磁兼容性（EMC）问题的主动控制。采用屏蔽、地线等的被动控制方法早已被采用。随着时钟频率的提高以及非金属材料在汽车车身和飞机机身上的使用，不必要的辐射是一个日益严重的问题。本次调查旨在研究辐射排放的主动控制。* * *

9308924 Smith There exists a vast potential for applying unconventional computing methods to many electromagnetics (EM) problems to reduce the amount of intuitive analysis and to relax the computational intensity of many problems. Choice of a particular method depends on the application and the data being analyzed. Initially this study focuses on improving the radiation properties of large distorted satellite reflector antennas. Preliminary investigations indicate the neural network computing algorithms could be used for electromagnetic compensation for surface errors. The advantages of using this intelligent approach versus one of the exiting methods are speed (allowing real-time radiation control) and data reduction. The first part of this study involves bringing this new technology to a mature state. The ultimate goal of this effort is application of these intelligent electromagnetic compensation methods to active control of electromagnetic compatibility (EMC) problems associated with electronic devices. Passive control methods using shielding, ground wires, etc. have long been used. With higher clock frequencies and the use of nonmetallic materials in auto bodies and aircraft fuselages, unwanted radiation is an ever increasing problem. This investigation proposes to investigate active control of radiated emissions. ***