Empirical models of the performance tradeoffs in induction machines

The focus of this research is to investigate the tradeoffs between mass, efficiency, and cost of commercially available induction machines (IMs). To support this effort, data from large number of IMs is used to establish Pareto-optimal fronts between efficiency and mass and efficiency and cost. From the Pareto-optimal fronts, relatively straightforward models are formulated for the mass versus efficiency and cost versus efficiency of IMs. Parameters of the models are obtained using a genetic algorithm (GA).