WSEAS Transactions on Power Systems
Print ISSN: 1790-5060, E-ISSN: 2224-350X
Volume 9, 2014
Improved FOC of Induction Motor with Online Neural Network
Authors: , , , , ,
Abstract: This paper proposed improvement performance from offline towards online neural network scheme for speed control of induction motor field oriented control based on load disturbance and parameter variation. The neural network is design as 1-3-1 network structure by feedforward architecture to maintain the speed trajectory specified by reference model. Both offline and online networks were trained by backpropagation algorithm and the updating of weight and bias will be done in the online model. Simulation model were developed for both networks by using MATLAB/Simulink software and the results shows that the performance of online NNIFOC improved rather than offline NNIFOC and robust to load disturbance and parameter variation.