Backstepping Position Control for Induction Motor based on Neural Network

A robust backstepping control strategy is used in designing position tracking control system of induction motor. Neural networks are employed in every step of backstepping to design the fictitious controller until the actual controller is finished. The solution of regression matrix in backstepping method can be eliminated; the online adjustment of weights can ensure the boundary of position tracking error by choosing proper weight adjusting algorithm. Simulation is made on Matlab/Simulink platform, and the results verify the availability of the proposed method