Scalable Modeling and Synthesis of On-Chip Spiral Inductors

M. G. Bernardo, R. Freire, Antonio A. L. de Souza, É. C. A. Mélo
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引用次数: 1

Abstract

In this paper, an efficient synthesis for integrated spiral inductors based on particle swarm optimization is presented. The synthesis/optimization process aims to determine the inductor layout parameters that maximize the quality factor while considering the imposed restrictions (project specifications). The spiral inductors are modeled using a double-π scalable model, in which the design parameters of inductor are taken as input. All the elements of the scalable model are calculated from the scalable expressions and process parameters. Particle swarm optimization is used to explore the design space and resolution of the optimization problem. Three design examples of inductors with inductance values of 3 nH, 5.5 nH and 8 nH, and with operating frequency of 2 GHz, 3.5 GHz and 5 GHz are used to evaluate the synthesis process. The obtained results confirm the validity of the adopted methodology and the PSO efficiency in determining the most adequate inductor structure to the project specifications.
片上螺旋电感的可扩展建模与合成
本文提出了一种基于粒子群优化的集成螺旋电感的高效综合方法。综合/优化过程旨在确定电感布局参数,使质量因子最大化,同时考虑施加的限制(项目规范)。以电感器的设计参数为输入,采用双π可伸缩模型对螺旋电感器进行建模。根据可伸缩表达式和工艺参数计算可伸缩模型的所有元素。利用粒子群算法探索优化问题的设计空间和求解方法。以电感值为3 nH、5.5 nH和8 nH,工作频率分别为2 GHz、3.5 GHz和5 GHz的电感设计为例,对合成过程进行了评价。所得结果证实了所采用方法的有效性,以及粒子群算法在确定最合适的电感结构以满足项目规格方面的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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