RBF神经网络在光通信粗跟踪系统中的应用

摘要

针对无线光通信系统中的非线性与时变不确定性而导致的通信不稳定,提出一种基于径向基函数(RBF)神经网络的PID智能控制策略作为粗跟踪的控制方法.介绍了光电跟瞄系统原理,在建立系统模型框图后引入了RBF神经网络监督控制结构,并通过实验平台验证了该算法的有效性.%For wireless optical communication system,the nonlinearity and time-varying uncertainty can cause the instability of communication.In order to solve this problem,this paper proposes a PID intelligent control strategy based on the radial basis function (RBF) neural network to work as a control method of coarse tracking.This paper firstly describes the principle of the photoelectric tracking system.Then the RBF neural network supervisory control structure is introduced after the establishment of the system model.At last,the validity of the algorithm is verified by the experimental platform.