Title :
Variable reluctance motor characterization
Author :
Manzer, Dennis G. ; Varghese, Matthew ; Thorp, James S.
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fDate :
2/1/1989 12:00:00 AM
Abstract :
A technique to develop a simple, nonlinear dynamic model (from measurements of flux linkage) which captures all of the relevant dynamics of the motor over its entire operating regime is described. A least squares data reduction algorithm that handles the analyses in a natural way to generate bivariate polynomials to approximate the flux linkage is given. Comparisons with a theoretical method and other measurements are presented
Keywords :
machine theory; numerical analysis; reluctance motors; bivariate polynomials; flux linkage; least squares data reduction algorithm; machine theory; nonlinear dynamic model; numerical analysis; operating regime; reluctance motor; Actuators; Algorithm design and analysis; Couplings; DC motors; Least squares approximation; Reluctance motors; Robots; Surface fitting; Torque control; Virtual reality;
Journal_Title :
Industrial Electronics, IEEE Transactions on
