基于灰色模型的网络控制系统预测函数算法研究  

Study of PFC Algorithm Based on Grey System Model in Networked Control System

作　　者：潘卫华[1] 韩璞[2] 张丽静[1] 王天堃[2] 

机构地区：[1]华北电力大学信息与网络管理中心,河北保定071003 [2]华北电力大学控制科学与工程学院,河北保定071003

出　　处：《微电子学与计算机》2008年第10期24-26,共3页Microelectronics & Computer

基　　金：国家自然科学基金项目(5067002);华北电力大学青年教师科研基金项目(200511019)

摘　　要：网络控制系统存在不确定性的时间迟延和数据丢包,可视作具有随机干扰和参数时变的灰色系统.将广义被控对象建模为灰色系统模型,在此模型基础上设计了预测函数控制算法,推导出模型预测输出和控制量计算方程的求解;设计了控制器采用事件-时间混合驱动方式,传感器和执行器采用时间驱动方式的网络控制系统仿真平台.仿真结果表明该算法在线计算量小、抗干扰能力强,跟踪速度快、控制效果良好.The Networked Control System with random time delays and data drop can be regarded as the grey system which involves stochastic interferences and random variables. The generalized controlled object is modeled as a grey system model and a algorithm of predictive functional control based on grey system model is proposed. The formula of how to calculate the output of predictive model and the equation of control law is deduced; A NCS simulation platform with eventclock-driven controller nodes and clock-driven sensor nodes and actuator nodes is built. The simulation results show that the algorithm has the better anti-interference ability and quicker dynamic response and it is easy to calculate online and performs good control capability.

关 键 词：网络控制系统(NCS) 灰色系统模型 预测函数控制 迟延与丢包 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]