摘要
为了提高光通信跟踪的控制精度,针对传统PID控制策略存在的一些不足,提出一种基于前馈补偿和PID控制相融合的光通信跟踪策略。该策略通过RBF神经网络对外界扰动和模型误差引起的输出误差进行补偿,对PID控制参数进行在线估计,以提升系统的自适应控制性能,降低PID的控制误差,从而提高光通信系统的跟踪性能,并通过仿真实验对光通信跟踪性能进行分析。实验结果表明,相对于传统PID光通信跟踪控制策略,本文控制策略可以适应被控对象的动态变化特性,获得了更加鲁棒的光通信跟踪系统,提高了光通信跟踪控制效果。
In order to improve the tracking control precision of optical communication system,the traditional PID control methods have some defects,so the optical communication tracking strategy based on PID control is proposed.RBF neural network is used to compensate the error caused by external disturbances and model errors and adjust the parameters of PID controller to improve adaptive performance of control system and reduce the error of PID control to improve the tracking performance of optical communication systems,finally,the simulation experiments are carried out to the performance of method. Experimental results show that compared with the traditional optical communication tracking control strategy,the proposed control strategy can adapt to the changes of dynamic precision of the objects and the robustness better,and improve the optical communication tracking control accuracy.
出处
《激光杂志》
北大核心
2015年第9期118-121,共4页
Laser Journal
基金
河南省自然科学基金(2015CDZ088)
关键词
光通信跟踪
前馈补偿
PID控制
仿真实验
Optical communication track
Feed-forward compensation control
PID control
Simulation experiments