Neural Networks Sliding Mode Method´s Study Based on Induction Motor Indirect Torque Control

The paper first designs sliding mode indirect torque controller. Then, the system´s stability is proved by using Lyapunov function. Based on the uncertain of parameters and disturbance´s bounds, a kind of parameter neural networks and sliding mode controlling method is utilized to reduce chattering. A novel observer approach of rotor flux is proposed by reference frame´s rotation on the basis of traditional voltage-current model, which eliminates cumulative error, noise and time delay´s effect from rotor speed estimation. Finally, experiment verifies the proposed approach