NEURAL NETWORK BASED INPUT-OUTPUT MODELING FOR AN INDUCTION MOTOR DRIVE

摘要

This paper presents an accurate nonlinear model of induction motor using neural network, which is configured by an input output structure. This modeling technique is done by using the data from the system inputs/outputs information without knowledge about machine parameters. Results of simulation show that the proposed model is accurate under both transient and steady state conditions.