A.A. Zaher (Kuwait) and M. Zohdy (USA)
Modelling, Simulation, PM Motors, Automotives.
This paper introduces a robust mathematical technique for
modeling and simulation of DC PM motors. The proposed
methodology fits experimental data, obtained from Dyno
lab-test, to an analytical model that is capable of faithfully
reproducing all involved signals and motor parameters.
The proposed mathematical model is assumed linear to
facilitate the modeling process. Nonlinear effects due to
changing operating conditions are investigated, and a ro
bust data-fitting algorithm is augmented to the linear
model to compensate for their effects. The proposed tech
nique is exemplified by an HVAC motor that has typical
applications in automotive industry. The simulations are
carried out using Saber®
software and verified using
. Practicality of the proposed technique is ad
dressed and its extensibility to other similar problems in
different fields is also discussed.