基于动态事件触发机制的双通道时延网络预测控制  

Two-channel time-delayed networked predictive control based on dynamic event-triggered mechanism

作　　者：殷俊 刘斌[1,2] 陈景召[1,2] Yin Jun;Liu Bin;Chen Jingzhao(Engineering Research Center for Metallurgical Automation and Detection Technology of Ministry of Education,Wuhan University of Science and Technology,Wuhan 430081,China;College of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China)

机构地区：[1]武汉科技大学冶金自动化与检测技术教育部工程研究中心,湖北武汉430081 [2]武汉科技大学信息科学与工程学院,湖北武汉430081

出　　处：《武汉科技大学学报》2023年第2期136-144,共9页Journal of Wuhan University of Science and Technology

基　　金：国家自然科学基金资助项目(61333008).

摘　　要：本文针对传感器-控制器通道和控制器-执行器通道均存在时延的网络控制系统(NCSs),研究了在动态事件触发机制(DETM)下基于模型的网络预测控制(NPC)问题。通过在静态事件触发机制(SETM)中引入一个内部动态变量,设计了双通道动态事件触发机制,采用龙伯格观测器对系统状态进行估计,提出了基于模型的网络预测控制方法主动对双通道网络时延进行补偿,根据Lyapunov稳定性理论,给出了网络控制系统渐进稳定的充分条件,通过数值仿真验证了所提方法的有效性。A model-based networked predictive control(NPC)problem under dynamic event-triggered mechanism(DETM)was investigated for networked control systems(NCSs)with time delay in both sensor-to-controller and controller-to-actuator channels.A two-channel dynamic event-triggered mechanism was designed by introducing an internal dynamic variable into the static event-triggered mechanism(SETM),and the state of the system was estimated by using the Luenberger observer.A model-based networked predictive control method was designed to compensate the two-channel network time delay actively.According to the Lyapunov stability theory,a sufficient condition for the asymptotic stability of networked control systems was obtained.The effectiveness of the proposed method was verified via the numerical simulation.

关 键 词：网络控制系统 网络预测控制 动态事件触发机制 时延 稳定性 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]