基于模型的网络控制系统稳定性分析及应用

针对时延网络控制系统中被控对象状态无法直接测量的情况，提出了基于模型的时延网络控制系统模型。系统采用状态反馈控制器，在网络信号传输时间间隔内，以被控对象模型为依据，计算控制信号，以减少系统对网络的依赖。在此基础上，给出了网络控制系统全局指数稳定的充要条件，该条件受网络信号更新时间、被控对象模型误差及网络引起的时延等因素的影响。仿真示例验证了该条件的有效性，应用在工业控制系统中，取得了较好的控制效果。

Stability Analysis and Application of Model-based Networked Control Systems

To the problem that the state of continuous linear plants can not be measured directly in networked control systems with delays,a structure of model-based NCS with delays is proposed.A state observer is adapted.By computing control signal based on plant model at intervals of signal transmission of network,the usage of the network can be reduced.Furthermore,necessary and sufficient conditions for system globally exponentially stability are derived.These conditions are affected by the network signal update time and the plant model error and network-induced delay.Simulation example shows the effectiveness of the stability conditions.Good control performance is obtained in the application to industry control system.