Genetic algorithm techniques for the design of nonlinear microwave circuits

Steady state analysis of nonlinear circuits represents the most computational challenging problem in RFMcrowave circuit design. Even though all circuits are assumes as a linear circuits in circuit theory, in fact it is nonlinear circuit. The problem in designing and analyzing the nonlinear circuits...

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Main Author: Arsat, Rashidah
Format: Thesis
Language:English
Published: 2004
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Online Access:http://eprints.utm.my/id/eprint/6832/1/RashidahArsatMFKE2004.pdf
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spelling my-utm-ep.68322018-09-19T05:03:37Z Genetic algorithm techniques for the design of nonlinear microwave circuits 2004-09-02 Arsat, Rashidah TK Electrical engineering. Electronics Nuclear engineering HE Transportation and Communications Steady state analysis of nonlinear circuits represents the most computational challenging problem in RFMcrowave circuit design. Even though all circuits are assumes as a linear circuits in circuit theory, in fact it is nonlinear circuit. The problem in designing and analyzing the nonlinear circuits usually more complicated than for linear circuits. Many approaches have been done to overcome this problem. Recently hybrid method of analyzing nonlinear circuits has proved to be popular. In this report a hybrid method of Sample Balance Genetic Algorithm (SBGA) used to analyze nonlinear diode excited by RF circuit. The purpose of this report is to minimizing the current difference between nonlinear current which across the nonlinear element and linear current at linear element and voltage across the nonlinear terminal. By using Sample Balance's differential of current linear and nonlinear equation as an objective function, a Genetic Algorithm routine then been constructed. Genetic Algorithm will then recombine, mutate and evaluate the population of solution to find the best solution based on Sample balance equation. This hybrid method manages to get 0.013A of error current and a sinusoidal waveform clipped at 0.W during first half of the wavefonn for the nonlinear voltage. 2004-09 Thesis http://eprints.utm.my/id/eprint/6832/ http://eprints.utm.my/id/eprint/6832/1/RashidahArsatMFKE2004.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:62449 masters Loughborough University, United Kingdom, Department of Electronic and Electrical Engineering Department of Electronic and Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
HE Transportation and Communications
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
HE Transportation and Communications
Arsat, Rashidah
Genetic algorithm techniques for the design of nonlinear microwave circuits
description Steady state analysis of nonlinear circuits represents the most computational challenging problem in RFMcrowave circuit design. Even though all circuits are assumes as a linear circuits in circuit theory, in fact it is nonlinear circuit. The problem in designing and analyzing the nonlinear circuits usually more complicated than for linear circuits. Many approaches have been done to overcome this problem. Recently hybrid method of analyzing nonlinear circuits has proved to be popular. In this report a hybrid method of Sample Balance Genetic Algorithm (SBGA) used to analyze nonlinear diode excited by RF circuit. The purpose of this report is to minimizing the current difference between nonlinear current which across the nonlinear element and linear current at linear element and voltage across the nonlinear terminal. By using Sample Balance's differential of current linear and nonlinear equation as an objective function, a Genetic Algorithm routine then been constructed. Genetic Algorithm will then recombine, mutate and evaluate the population of solution to find the best solution based on Sample balance equation. This hybrid method manages to get 0.013A of error current and a sinusoidal waveform clipped at 0.W during first half of the wavefonn for the nonlinear voltage.
format Thesis
qualification_level Master's degree
author Arsat, Rashidah
author_facet Arsat, Rashidah
author_sort Arsat, Rashidah
title Genetic algorithm techniques for the design of nonlinear microwave circuits
title_short Genetic algorithm techniques for the design of nonlinear microwave circuits
title_full Genetic algorithm techniques for the design of nonlinear microwave circuits
title_fullStr Genetic algorithm techniques for the design of nonlinear microwave circuits
title_full_unstemmed Genetic algorithm techniques for the design of nonlinear microwave circuits
title_sort genetic algorithm techniques for the design of nonlinear microwave circuits
granting_institution Loughborough University, United Kingdom, Department of Electronic and Electrical Engineering
granting_department Department of Electronic and Electrical Engineering
publishDate 2004
url http://eprints.utm.my/id/eprint/6832/1/RashidahArsatMFKE2004.pdf
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