• Title of article

    Multi-objective optimization design and performance evaluation of slotted Halbach PMSM using Monte Carlo method

  • Author/Authors

    Bouloukza, I University of 20 aout 1955 Skikda - Department of Electrical Engineering - Skikda, Algeria , Mourad, M University of 20 aout 1955 Skikda - Department of Electrical Engineering - Skikda, Algeria , Medoued, A University of 20 aout 1955 Skikda - Department of Electrical Engineering - Skikda, Algeria , Y. Soufi University of Tebessa - Department of Electrical Engineering - Tebessa, Algeria

  • Pages
    12
  • From page
    1533
  • To page
    1544
  • Abstract
    This paper proposes the optimized design of Permanent Magnet Synchronous Motor (PMSM) based on the analysis of radial- ux permanent magnet motor with minimum weight, maximum efficiency, and an increased torque. The rotor of the PMSM uses segmented permanent magnets mounted on the surface. The achievement of the method involves four steps. Firstly, the simplied motor model is presented in a manner which yields symbolic solution for optimal motor parameters as a function of mass. Secondly, Monte Carlo method is employed to compute optimal motor dimensions to obtain efficiency, torque, and active mass of the optimal motor. Then, the steady-state characteristics of the primary optimized design obtained in the last step are calculated and compared to satisfy the ux condition. Finally, the performance of the optimized machine is calculated using 2D transient Finite-Element Analysis (FEA). Subsequently, the model mesh and boundary conditions are handled and presented. According to the obtained results, the essential purpose of the work has been fullled, the weight has been reduced by 24%, and the efficiency and rated torque have been improved by 8% and 40%, respectively. The proposed design approach has the advantage in terms of its signicant time reduction of the design cycle.
  • Keywords
    Permanent magnet machine , Design methodology , Optimization , Monte Carlo method , Performance , Finite-Element Analysis (FEA)
  • Journal title
    Scientia Iranica(Transactions D: Computer Science and Electrical Engineering)
  • Serial Year
    2018
  • Record number

    2673174