Study on Excitation System Based on Neural Network Control Algorithm
At present the conventional PID algorithm may not be able to respond quickly in terms of overshoot and track-ing given signals.However,with the rapid development of artificial intelligence and MCU,the excitation system can use other more intelligent algorithms to meet the requirements of synchronous generators,thereby improving stability and in-telligence of the system.A PID control model optimized by BP neural network algorithm is proposed here.Compared with the conventional PID algorithm,the corresponding speed is faster,while retaining the advantages of the conventional PID control in stability.It can play a role in the automatic optimization of control parameters in the excitation system.The model is verified by MATLAB/Simulink simulation to have satisfactory stability and smaller overshoot.
万方数据
维普
