Symbolic Treatment on Equation Based Models to Prepare Code Generation for Optimization Process

L. Allain (), L. Gerbaud () and C. Van Der Schaeghe ()
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L. Allain: CNRS UMR 5529 INPG/UJF, Laboratoire d’Electrotechnique de Grenoble
L. Gerbaud: CNRS UMR 5529 INPG/UJF, Laboratoire d’Electrotechnique de Grenoble
C. Van Der Schaeghe: Somfy Industrie

A chapter in Optimization and Inverse Problems in Electromagnetism, 2003, pp 45-52 from Springer

Abstract: Abstract The paper deals with a symbolic treatment of analytical models, that are used to describe systems to be size using methods with optimization under constraints techniques. Such models are equations based. They are made of relations between parameters and system performances. In many cases, they have to be arranged by the designer, to get a well organised and oriented description for their valuing in the optimization process. Indeed, a complete physical description for a system is often made of equations, algorithms and functions. To optimise on many criteria, the computer code that values them has to be performed. The paper aims to provide an automatic help to organise the model elements, and to create a computer science code that carries out the model valuing. The description of these models is stored in a format that will allow easier code generation, for their valuing in different kind of tools, especially in optimization one : PRO@Design / EDEN [1]. These treatments are applied on electrical systems, mainly power electronics structures, electric drives, electromechanical systems, but also any similar system (in the modelling view point described in the paper).

Keywords: Symbolic treatment; equation based optimization (search for similar items in EconPapers)
Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-017-2494-4_5

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DOI: 10.1007/978-94-017-2494-4_5

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