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Herramienta de optimización paramétrica distribuida con HFSS

Authors: Lentisco Sánchez, Carlos Mariano;

Herramienta de optimización paramétrica distribuida con HFSS

Abstract

Hoy en día, las señales de naturaleza electromagnética son la esencia de las actuales tecnologías de la información y de las comunicaciones. En particular, el auge de las redes de comunicación inalámbrica, ha elevado la demanda de diseño de estructuras electromagnéticas de gran complejidad. El análisis de estas estructuras es costoso en tiempo y en recursos computacionales, por lo que, realizar simulaciones paramétricas, que requieren realizar múltiples modificaciones sobre los parámetros de la estructura, eleva el conjunto de análisis y aumenta inevitablemente el tiempo de ejecución. El objeto del presente Proyecto Fin de Carrera es diseñar una metodología de simulación paramétrica distribuida que permita gestionar de forma eficiente los recursos computacionales que se disponen, minimizando así, dicho tiempo de ejecución. A esta metodología se le puede incluir, si es el caso, un optimizador que ayude al diseñador a encontrar la solución óptima. En este proyecto se propone un optimizador que hace uso de la simulación paramétrica para encontrar los valores de los parámetros que proporcionan la solución óptima. Se ha utilizado HFSS como simulador de problemas electromagnéticos, tanto para el modelado de las estructuras, como también para su análisis y obtención de resultados. El conjunto de análisis a realizar en el proceso de optimización es distribuido en el cluster del Grupo de Radiofrecuencia del departamento de Teoría de la Señal y Comunicaciones, gracias al sistema gestor de colas Sun Grid Engine (SGE). La herramienta ha sido validada con la optimización de un filtro de guiaonda con postes dieléctricos, en particular, de cuatro cavidades y cinco irises. Como puede intuirse, esta estructura cuenta con un elevado número de parámetros, lo que justifica una optimización con un uso eficiente de los recursos debido a la elevada necesidad de cómputo necesaria. ________________________________________________________________________________________________________________________ Nowadays, electromagnetic natural signals are the essence of modern information technology and communications. Particularly, the growth of wireless communication networks has risen the demand of highly complex electromagnetism structures design. The analysis of these structures is costly in time and computational resources. Therefore, carrying out parametric simulations, which require making several modifications over the structure parameters, expands the analysis set and increases inevitably the execution time. The object of the following dissertation is to design a methodology of distributed parametric simulation that allows to efficiently manage the available computational resources, minimizing this way the execution time. To this methodology can be included, if needed, an optimizer which helps the designer to find the optimal solution. In this project it is proposed an optimizer using the parametric simulation to find the values of the parameters which give the optimal solution. HFSS has been used as the electromagnetic problem simulator, both for structure modelling and for analysis and obtaining of results. The set of analysis to make in the optimization process is distributed in the cluster from the Radio Frequency Group of the Signal Processing and Communication Theory Department, thanks to the Sun Grid Engine (SGE) queuing system. The tool has been validated with the optimization of a waveguide filter with dielectrics, particularly using four cavities and five iris. As can be seen, this structure includes a high number of parameters, which justifies an optimization that efficiently manages resources, due to the high computation capacity needed. Ingeniería de Telecomunicación

Country
Spain
Related Organizations
Keywords

Herramientas de software, Telecomunicaciones, Simulación paramétrica, Redes de comunicación, Algoritmos genéticos, Optimización

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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