examined on two sample motors, and the results were compared
with that obtained using the classical parameter estimation method
and GA. The IA method was found to be more viable as it gave
minimum standard deviation among the solution obtained from
multiple random trials. The results confirm the potential of the
proposed approach and show its effectiveness and superiority over
the classical parameter estimation methods and the genetic
algorithms