WSEAS Transactions on Circuits and Systems
Print ISSN: 1109-2734, E-ISSN: 2224-266X
Volume 15, 2016
On the Modeling of a Stepper Reluctant Linear Motor by Neural Approach
Authors: , ,
Abstract: A classical model of electrical machines is generated by a specified identification shows a discrepancy between the simulation results and those obtained practically. Being a second-order model of a stepper linear motor, the method adopted for the identification of parameters of the machine does not detect an adequate quantification values for the simulation tests, because for which use of new methods seems more reliable. The goal was to identify a mathematical model defining as finely as possible the behavior of the studied machine based on modeling by neural networks for the quality of their contributions in learning ability to better estimate the dynamic behavior of the considered motor.