AUTOMATIC INPUT/OUTPUT MODELING OF A SQUIRREL-CAGE INDUCTION MOTOR DRIVE SYSTEM USING NEURAL NETWORK

This paper presents an alternative input/output modelli ng of a squirrel-cage induction motor drive system. Usually these systems are modelled using state variables like rotor currents or linking fluxes, some of them extremely diff icult to obtain. A neural network based learning through examples algorithm is used to represent the motor dynamics, using only input/output information. This is very important when implementing modern control techniques which require a precise modelli ng of the drive. The learning algorithm performance is verified through experimental results.