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 boundance, 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 ratation 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.