• DocumentCode
    2180534
  • Title

    The concept of Imaginary Machines for design and Setting of Optimization Problems: Application to a synchronous generator

  • Author

    Wurtz, F. ; Kuo-Peng, P. ; De Carvalho, E.S.

  • Author_Institution
    G2ELab Lab., INPG/UJF, St. Martin d´´Hères, France
  • fYear
    2012
  • fDate
    2-5 Sept. 2012
  • Firstpage
    1463
  • Lastpage
    1468
  • Abstract
    This paper suggests that “Setting Optimization Problem” is an important bottleneck in the practical use of optimization for design of electromagnetic devices. “Setting Optimization Problem” means in particular finding the “right formulation of the constraints” on the inputs and outputs of the optimization problem, and what is the right formulation of the objective functions. This problematic can certainly become a research topic in which concepts, methodologies and tools should be developed. As an example of this, this paper proposes a concept called the Imaginary Pareto Front (IPF) using itself the concept of Imaginary Machines (IM). We will show how it that can be used in order to check very quickly the constraints formulation of an optimization problem of electromagnetic devices, based on a continuous model in which some parameters are discrete. This will be illustrated on the design of a round-rotor synchronous generator.
  • Keywords
    Pareto optimisation; electromagnetic devices; rotors; synchronous generators; IPF; electromagnetic device design; imaginary Pareto front; imaginary machine concept; round-rotor synchronous generator design; setting optimization problem; Linear programming; Numerical models; Optimization; Rotors; Stators; Synchronous generators; Optimization; constraints; design; design activity; design methodology; electrical machine; objective function; problem setting; problem solving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines (ICEM), 2012 XXth International Conference on
  • Conference_Location
    Marseille
  • Print_ISBN
    978-1-4673-0143-5
  • Electronic_ISBN
    978-1-4673-0141-1
  • Type

    conf

  • DOI
    10.1109/ICElMach.2012.6350071
  • Filename
    6350071