Induction motor control based on BP neural network and adaptive PID

With the advantages of firmness, reliability, low price and high efficiency, induction motor has become a selected object for a lot of servo system. However, as Induction motor is a nonlinear control system with multi variable and strong coupling, its speed and torque are control often affected by the motor parameters and external disturbances. Therefore, the research on how to improve the robustness of induction motor control has important significance. This paper adopts BP neural network and adaptive PID control method to control induction motor and has achieved higher steady-state precision and fast follow control effect through the simulation.