• DocumentCode
    2577557
  • Title

    Particle swarm optimization for PID tuning of a BLDC motor

  • Author

    Portillo, Alberto A. ; Frye, Michael ; Qian, Chunjiang

  • Author_Institution
    UTSA Dept. of Electr., Univ. of Texas Health, San Antonio, TX, USA
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    3917
  • Lastpage
    3922
  • Abstract
    This paper applies a particle swarm optimizer to tune the PID gains for a brushless DC motor. This motor is used in a milling machine that moves in coordination with three additional motors to carve out transtibial and transfemoral prosthetic sockets. Three motors move in the X, Y, and Z coordinate axes, while one motor rotates in a clockwise/counterclockwise rotation. The BLDC motor of interested is responsible for controlling the movement along the X axis. Performance improvements using the PSO PID gains are analyzed in the motor controlling the X axis by comparing the performance of the motor obtained by an optimizer program provided by the manufacturer of the milling machine and the brushless DC motor model developed in this paper.
  • Keywords
    brushless DC motors; machine control; milling machines; particle swarm optimisation; prosthetics; BLDC Motor; PID tuning; brushless DC motor; milling machine; particle swarm optimization; transfemoral prosthetic sockets; transtibial prosthetic sockets; Brushless DC motors; Brushless motors; Clocks; DC motors; Metalworking machines; Particle swarm optimization; Performance gain; Prosthetics; Sockets; Three-term control; PID tuning; Particle Swarm Optimization; biomedical application;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5346655
  • Filename
    5346655