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Design optimization of transmitting antennas for weakly coupled magnetic induction communication systems

机译:弱耦合磁感应通信系统发射天线的设计优化

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摘要

This work focuses on the design of transmitting coils in weakly coupled magnetic induction communication systems. We propose several optimization methods that reduce the active, reactive and apparent power consumption of the coil. These problems are formulated as minimization problems, in which the power consumed by the transmitting coil is minimized, under the constraint of providing a required magnetic field at the receiver location. We develop efficient numeric and analytic methods to solve the resulting problems, which are of high dimension, and in certain cases non-convex. For the objective of minimal reactive power an analytic solution for the optimal current distribution in flat disc transmitting coils is provided. This problem is extended to general three-dimensional coils, for which we develop an expression for the optimal current distribution. Considering the objective of minimal apparent power, a method is developed to reduce the computational complexity of the problem by transforming it to an equivalent problem of lower dimension, allowing a quick and accurate numeric solution. These results are verified experimentally by testing a number of coil geometries. The results obtained allow reduced power consumption and increased performances in magnetic induction communication systems. Specifically, for wideband systems, an optimal design of the transmitter coil reduces the peak instantaneous power provided by the transmitter circuitry, and thus reduces its size, complexity and cost.
机译:这项工作着重于弱耦合磁感应通信系统中的发射线圈的设计。我们提出了几种优化方法,可以减少线圈的有功,无功和视在功耗。这些问题被表述为最小化问题,其中在接收器位置提供所需磁场的约束下,发送线圈所消耗的功率被最小化。我们开发了有效的数值和分析方法来解决由此产生的问题,这些问题具有高维度,在某些情况下是非凸的。为了最小化无功功率,提供了一种用于在平盘发射线圈中实现最佳电流分布的解析解决方案。这个问题扩展到普通的三维线圈,为此我们开发了一种用于最佳电流分布的表达式。考虑到最小视在功率的目标,开发了一种方法,通过将问题转换为较低维的等效问题来降低问题的计算复杂度,从而实现快速准确的数值解。通过测试多种线圈几何形状,可以通过实验验证这些结果。获得的结果可以降低功耗,并提高磁感应通信系统的性能。具体地,对于宽带系统,发射器线圈的最佳设计减小了由发射器电路系统提供的峰值瞬时功率,因此减小了其尺寸,复杂性和成本。

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