COMPLETE COMPENSATION FOR TIME DELAY IN NETWORKED CONTROL SYSTEM BASED ON GPC AND BP NEURAL NETWORK

摘要：

A new framework is proposed to cope with the uncertain time delay of networked control system.Event-clock-driven controller nodes, together with clock-driven sensor nodes and actuator nodes are required in this framework.Queuing Strategy is introduced both in controller nodes and actuator nodes while the time delay between controller node and actuator node is compensated by multi-step control increment given by the algorithm of General Predictive Control.An output error prediction model is built using BP neural network to deal with the time delay between sensor node and controller node.The principle of this model is to revise the predictive output of general predictive control model using predictive error signal; if the value of time delay exceeds the upper limit, controller nodes will immediately produce the control strategies adopting the revised predictive output, and thus the compensation for time delay between sensor nodes and controller nodes would be accomplished.Simulation experiments are practiced over Ethernet network which embraces both kinds of time delay.It is proved that the scheme of complete compensation remains a good control performance.

关键词： Networked Control System (NCS) Time delay General Predictive Control (GPC) BP neural network Queuing Strategy (QS)

作者: TIAN-KUN WANG LI-HUI ZHOU PU HAN QIAN ZHANG

作者单位: School of Energy and Power Engineering, North China Electric Power University, Beijing 102206 Guo Dian Nan Jing Automation Co.LTD, Nanjing 210003, China;School of Control Science and Engineering School of Control Science and Engineering, North China Electric Power University, Baoding 071003, Ch

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 637-641

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）