神经网络自适应控制的电磁骚扰测试转台系统

Study of Electromagnetic Disturbance Measurement Swivel Table System with Neural Network Adaptive Control

针对电磁骚扰测试转台的特殊要求,设计出一种利用神经网络自适应控制的测试系统,并提出一种基于PID型的二阶BP快速学习算法。试验结果表明,应用此控制方法可以实现电磁骚扰测试转台系统响应速度快、超调量小、控制效果好及抗干扰能力强的优点。该方法具有一定的实用意义和经济价值。

This paper studies a kind of swivel table control system by using neural network adaptive control for special demand of electromagnetic disturbance measurement swivel table system ,and proposes a new second-order BP algorithm based on PID.Experiment results show that using this control method and algorithm,the system has the advantages of fast respondence,small overshoot,high precision and strong robust.