Neural State Observer of an Asynchronous Machine Integrated in Wind Power System

The induction motor features high non-linear and non-measurable rotor flux. Therefore, the reconstruction of the State is necessary. Our work consists of designing the neural state observer law to reconstruct the rotor flux of the induction motor integrated into the wind system. State observer suggests estimating the non-linear part using the synthetic neural network (ANN) and determining the gain through the pole placement method. The simulation of the neural state observer approach of the induction motor process used to control the wind system's rotation speed showed good results.