模糊RBF神经网络在纯滞后系统中的应用  

RBF Fuzzy Neural Network in Time-delay Control System

作　　者：马军爽[1] 郭耀华[1] 王维[1] 

机构地区：[1]唐山学院信息工程系,河北唐山063000

出　　处：《唐山学院学报》2007年第4期87-89,100,共4页Journal of Tangshan University

摘　　要：在工业过程控制系统中,许多被控对象具有纯滞后的性质,这种纯滞后环节将导致系统不稳定。针对这种情况设计了一种控制器,这种控制器结合了模糊控制和神经网络控制的优点,可以在线调整得到一组最优的PID控制参数。仿真结果表明这种控制器结构简单,对纯滞后系统的控制效果良好。Many objects have the time-delay feature which will lead the instability of the system in industrial control process. The paper presents a PID controller which has integrated the advantages of traditional PID, neural network control and fuzzy control and can get the best PID parameters by on-line self-adjustment. Simulation results indicate that this controller not only has a simple structure, but also can improve the control effect greatly.

关 键 词：纯滞后 模糊神经网络 PID控制 参数调整 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]