Optimal Control of Temperature in Fluid Flow Using Four Types of MinimizationTechniques

The purpose of this paper is a thermal optimal control problem using four types of minimization technique. The four types of minimization techniques are the weighted gradient method, the Newton based method, the modified steepest descent method and the steepest descent method using weighting adaptat...

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Main Authors: Daisuke Yamazaki, Mutsuto Kawahara
Format: Article
Language:English
Published: SAGE Publishing 2010-06-01
Series:Journal of Algorithms & Computational Technology
Online Access:https://doi.org/10.1260/1748-3018.4.2.207
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author Daisuke Yamazaki
Mutsuto Kawahara
author_facet Daisuke Yamazaki
Mutsuto Kawahara
author_sort Daisuke Yamazaki
collection DOAJ
description The purpose of this paper is a thermal optimal control problem using four types of minimization technique. The four types of minimization techniques are the weighted gradient method, the Newton based method, the modified steepest descent method and the steepest descent method using weighting adaptation. The formulation is based on the optimal control theory in which the performance function is expressed by the computed and targeted temperatures. The optimal values can be obtained by minimizing the performance function. The thermal fluid flow is described by the Boussinesq approximated incompressible Navier-Stokes equation and the energy equation is analyzed. BFGS is applied to calculate the Hessian matrix which is used in the Newton-based method. The traction given by the perturbation for the Lagrange multiplier is used in the BFGS method.
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spelling doaj.art-838ab9fdf3f34227acf2ea54f4a00d3e2022-12-22T03:05:15ZengSAGE PublishingJournal of Algorithms & Computational Technology1748-30181748-30262010-06-01410.1260/1748-3018.4.2.207Optimal Control of Temperature in Fluid Flow Using Four Types of MinimizationTechniquesDaisuke YamazakiMutsuto KawaharaThe purpose of this paper is a thermal optimal control problem using four types of minimization technique. The four types of minimization techniques are the weighted gradient method, the Newton based method, the modified steepest descent method and the steepest descent method using weighting adaptation. The formulation is based on the optimal control theory in which the performance function is expressed by the computed and targeted temperatures. The optimal values can be obtained by minimizing the performance function. The thermal fluid flow is described by the Boussinesq approximated incompressible Navier-Stokes equation and the energy equation is analyzed. BFGS is applied to calculate the Hessian matrix which is used in the Newton-based method. The traction given by the perturbation for the Lagrange multiplier is used in the BFGS method.https://doi.org/10.1260/1748-3018.4.2.207
spellingShingle Daisuke Yamazaki
Mutsuto Kawahara
Optimal Control of Temperature in Fluid Flow Using Four Types of MinimizationTechniques
Journal of Algorithms & Computational Technology
title Optimal Control of Temperature in Fluid Flow Using Four Types of MinimizationTechniques
title_full Optimal Control of Temperature in Fluid Flow Using Four Types of MinimizationTechniques
title_fullStr Optimal Control of Temperature in Fluid Flow Using Four Types of MinimizationTechniques
title_full_unstemmed Optimal Control of Temperature in Fluid Flow Using Four Types of MinimizationTechniques
title_short Optimal Control of Temperature in Fluid Flow Using Four Types of MinimizationTechniques
title_sort optimal control of temperature in fluid flow using four types of minimizationtechniques
url https://doi.org/10.1260/1748-3018.4.2.207
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AT mutsutokawahara optimalcontroloftemperatureinfluidflowusingfourtypesofminimizationtechniques