BP neural network MRAC applied to slip gain adjusting

Asynchronous machine with indirect vector control is very popular in industrial applications. However, it is sensitive to rotor slip gain. In this paper, model reference adaptive system combined with PI controller based on BP neural network, then Electromagnetic torque of asynchronous motor could be online estimated by model reference adaptive system, BP neural network controller could adaptively adjust the parameters according to the error between the reference model and adaptive model, then steady-state and dynamic performance of the system could achieve good performance. Basic principles and schematic diagram are described. Simulation and experiment results confirm the validity of the proposed method.