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.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
WSEAS Transactions on Power Systems, ISSN / E-ISSN: 1790-5060 / 2224-350X, Volume 9, 2014, Art. #14
Azuwien Aida Bohari, Wahyu Mulyo Utomo, Zainal Alam Haron, Nooradzianie Muhammad Zin, Sy Yi Sim, Roslina Mat Ariff, "Improved FOC of Induction Motor with Online Neural Network," WSEAS Transactions on Power Systems, vol. 9, pp. 136-142, 2014, DOI:
Azuwien Aida Bohari, Wahyu Mulyo Utomo, Zainal Alam Haron, Nooradzianie Muhammad Zin, Sy Yi Sim, Roslina Mat Ariff. Improved FOC of Induction Motor with Online Neural Network.
WSEAS Transactions on Power Systems. 2014;9:136-142.