【作者】 潘卫华； 韩璞； 张丽静； 王天堃；

【Author】 PAN Wei-hua1, HAN Pu2, ZHANG Li-jing1, WANG Tian-kun2(1 Information and Network Management Center, North China Electric Power University, Baoding 071003, China; 2 School of Control Science and Engineering, North China Electric Power University, Baoding 071003, China)

【机构】 华北电力大学信息与网络管理中心； 华北电力大学控制科学与工程学院；

【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.更多还原

【Abstract】 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 event-clock-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.更多还原