• DocumentCode
    2101840
  • Title

    Design and construction of a low cost single-phase induction motor test bench

  • Author

    Adly, A.A. ; Mahgoub, O.A. ; Abd-El-Hafiz, Salwa Kamal

  • Author_Institution
    Electr. Power & Machines Dept., Cairo Univ., Giza, Egypt
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    113
  • Lastpage
    116
  • Abstract
    Single-phase squirrel cage induction motors are vastly used in a wide variety of domestic and industrial applications. As a consequence of market globalization, motor manufacturers are facing an increasingly competitive environment that mandates the adoption of design strategies yielding better performance at lower costs. This fact highlights the importance of having innovative experimental testing means and setups within manufacturers R&D divisions. This paper presents the details of a low cost PC-controlled test bench that was designed and constructed for fractional horse power (FHP) single-phase induction motors. Inference of the various motor parameters and performance is carried out by utilizing the evolutionary particle swarm optimization (PSO) algorithm to solve an inverse problem involving a limited set of multi-speed loading measurements. Full details of the test bench as well as parameter inference evolutionary approach are given in paper.
  • Keywords
    electric machine analysis computing; inverse problems; machine testing; particle swarm optimisation; squirrel cage motors; FHP; PSO; evolutionary particle swarm optimization; fractional horse power; inverse problem; low cost PC-controlled test bench; low cost single-phase induction motor test bench; market globalization; multispeed loading measurements; single-phase squirrel cage induction motors; DC motors; Equivalent circuits; Induction motors; Loading; Particle swarm optimization; Testing; Windings;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on
  • Conference_Location
    Abu Dhabi
  • Type

    conf

  • DOI
    10.1109/ICECS.2013.6815367
  • Filename
    6815367