Abstract: Space-Mapping (SM) is a recognized and successful
engineering optimization paradigm. It replaces the optimization of a
high-fidelity model by an iterative process of optimization and update of a
low fidelity, but cheap to evaluate, model. In spite of its success, its
performance greatly depends on how fast and on how accurate the cheap model
is. In this work, utilizing the optimization of an IPM motor as a test bed,
we make a thorough experimental study of a number of coarse models of
varying accuracy and execution times. The main goal is to show how the
characteristics of the coarse models affect the SM performance.
