Development of an Expert System for Design Purposes in Power Electronics

Fezzani, D.; Piquet, Hubert

doi:10.1080/09398368.1996.11463399

Cited by 1 publication

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“…Within each domain, they have been used to solve problems of different types. Types of problems involve design (of electrical systems) [1][2][3][4][5][6][7], survey and diagnosis (of complex systems) [8][9][10], control (of industrial processes) [11] and synthesis (of the family of direct converters such as choppers, inverters and rectifiers) [12]. Developments have been led by using the objectoriented programming (OOP) language available in the expert system shell Smeci [13].…”

Section: Introductionmentioning

confidence: 99%

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

Fezzani¹,

Piquet²,

Foch³

et al. 1998

Eur. Phys. J. AP

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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. PACS. 02.60.x Numerical approximation and analysis-02.90.+p Other topics in mathematical methods in physics-01.50.Kw Testing theory and techniques

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