Title :
Switched reluctance motor drive systems dynamic performance prediction and experimental verification
Author :
Arkadan, A.A. ; Kielgas, B.W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA
fDate :
3/1/1994 12:00:00 AM
Abstract :
In this first of a set of two companion papers on switched reluctance motor drive systems, the results of using a state space model to predict a motor-drive system dynamic performance characteristics under normal operating conditions are presented. Using this approach, the state space model parameters are determined from series of nonlinear magnetic field solutions, thus accounting for magnetic material nonlinearities and space harmonics due to the motor geometry. The method is applied to a 6/4, 0.15 hp, 5000 r/min switched reluctance motor and resulted in the machine inductances, which compared favorably to measured values. Using these parameters in the state space model, the dynamic performance characteristics of the motor drive system are predicted and verified by comparison to experimental data. In addition, the effects of mutual coupling between motor phases on the analysis results are evaluated
Keywords :
digital simulation; electric drives; electric machine analysis computing; electromagnetic fields; machine theory; reluctance motors; state-space methods; switching circuits; digital simulation; dynamic performance prediction; geometry; magnetic material nonlinearities; mutual coupling; nonlinear magnetic field solutions; space harmonics; state space model; switched reluctance motor drive; Geometry; Magnetic field measurement; Magnetic materials; Motor drives; Nonlinear dynamical systems; Nonlinear magnetics; Predictive models; Reluctance motors; Solid modeling; State-space methods;
Journal_Title :
Energy Conversion, IEEE Transactions on
