A Neural Network Based On-line Parameters Tracking Scheme for Autotuned AC Drive System
基于人工神经网络在线参数跟踪的自适应交流传动系统

Because of the sensitivity of Vector-Control effect to the AC drive system parameters, it is meaningful to discuss the online tracking of the system parameters. This paper uses the Hopfield neural network for online tracking of the rotor resistance (R2),system rotation inertia(J) ,speed damping coefficient (Ra) and load torque (TL),and uses the online tracking results for adaptive tuning of the flux and speed controller of the AC drive system when its parameters suddenly change about 50% at the start time. Simulation results show the effectiveness of the derived method.