Multi-Stage Optimization of Induction Machines Using Methods for Model and Parameter Selection

Optimization methods are increasingly used for the design process of electrical machines. The quality optimization result and necessary simulation effort depend on methods, machine models parameters used. This paper presents a multi-stage environment induction It uses strategies simulated annealing, evolution strategy pattern search. Artificial neural networks to reduce solution optimization. selection electromagnetic model is made in each stage using methodical approach. realized by parameter applied basis an electric traction example its suitability verified comparison with reference machine.