Modeling Using Neural Networks: Application to a Linear Incremental Machine

Abstract: Modeling a testing stepping linear and variable reluctance motor is achieved by applying techniques based on specific new tools for estimating the simulation responses of such studied machine. The target goal is to identify a mathematical model defining the finest possible motor behavior to study. In this work, we try to establish a comprehensive modeling, by the neural networks, of a linear stepping motor prototype, taking into consideration the electrical and mechanical characteristics and using the measurement results of the practical tests.