Lumped parametric model for an electrostatic induction micromotor using GA

Abstract

In this work we introduce a novel lumped parametric equivalent circuit, that couples electromechanical parameters, and describes the behavioral model of a linear electrostatic induction micromotor. We use Genetic Algorithms (GA) for tuning the parameters of the proposed model. Our model is validated by comparison against analytical solution. The comparison results demonstrate that the fitting error between our proposed equivalent circuit and the analytical solution —calculated applying the field analytical Maxwell’s equations— for the interface potential and force density vs. slip functions are neglected.