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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346655