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A few discussion on expert system development for electrical power systems-optimization of an inverter-motor of a railway traction chain

Published online by Cambridge University Press:  15 October 1998

D. Fezzani
Affiliation:
Laboratoire d'Électrotechnique et d'Électronique Industrielle (UMR-CNRS 5828), I.N.P. Toulouse, E.N.S.E.E.I.H.T., 2 rue Charles Camichel, 31071 Toulouse Cedex, France
H. Piquet
Affiliation:
Laboratoire d'Électrotechnique et d'Électronique Industrielle (UMR-CNRS 5828), I.N.P. Toulouse, E.N.S.E.E.I.H.T., 2 rue Charles Camichel, 31071 Toulouse Cedex, France
H. Foch
Affiliation:
Laboratoire d'Électrotechnique et d'Électronique Industrielle (UMR-CNRS 5828), I.N.P. Toulouse, E.N.S.E.E.I.H.T., 2 rue Charles Camichel, 31071 Toulouse Cedex, France
Ph . Nogaret
Affiliation:
Alstom Transport SA, rue du Docteur Guinier BP 4, 65600 Séméac, France
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Abstract

This paper deals with the automatic design of static converters and electrical machines. Facing the multitude of such devices (converters–machines), the choice of the appropriate converter or machine is a delicate problem. A high level of expertise is required to determine the best structure for the considered application. This choice could be rapidly made if one had a system which incorporates a great knowledge of converters, machines and control methods. Firstly, the authors review the realized studies, then they propose this methodology for a concrete case in order to optimize an inverter–motor of a railway traction chain. Constraints are described in terms of input and output performances (losses, current, ...). These data are analyzed by using design rules and methods which allow the decrease of the manufacture cost of the inverter–motor. Rules and methods are implemented on a workstation by means of an “expert system shell” Smeci. The article proposes several tracks which involve organization, methodology, confirmation and implementation of a tool supporting a method. This process of implementation is the most efficient to fit into a constant process of improvement which is supported by the return on experience and by the evolution of the state of the art.

Keywords

Type
Research Article
Copyright
© EDP Sciences, 1998

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