vector control of Induction machine using distributed delay neural flux observers

Vector control of induction motor, has gained dominance due to the improvement of computing hardware and the extended use of induction motor beyond industrial uses such as the electric vehicle, and automated medical machinery. The removal of the flux sensors necessitates the use of estimators to estimate the flux of induction machine. This paper use the artificial neural network to estimate the flux of the induction motor along the direct and quadrature axis, and make it available for feedback. Distributed delay neural networks which are more suited for time series problems is used in place of plain feed forward neural networks.