信息物理融合系统的分布式采样控制

Distributed Sampled-data Control of Cyber-physical Systems

针对信息物理融合系统(CPS)中的协调采样控制问题,提出了一种分布式控制算法.首先将CPS中的物理过程和数据信息处理过程建模为一组耦合关联的子系统和一组可以相互通信的控制器;然后利用输入延迟方法构造Lyapunov-Krasovskii函数,并对系统的稳定性进行了研究;接着基于稳定性理论,给出了系统在分布式采样控制律下的稳定性条件,并在此基础上设计了一种分布式采样控制算法.数值仿真结果表明:当控制器通信连接与系统耦合程度相当时,用于控制耦合程度较强的子系统控制器增益较小;当最大采样时间变大时,控制器的控制约束量变大;文中提出的算法能根据物理过程的耦合关系合理地配置CPS中的控制器资源.

A new dirtributed sampled-data control scheme was proposed for the problem of cooperative sampled-data control for cyber-physical systems(CPS).Firstly,the physical process and data information processing in CPS were modele as a set of coupled and correlated subsystems and a set of controllers that can communicate with each other.Then the Lyapunov-Krasovskii functional was constructed by virtue of the input delay method,and the stability of the system was studied.Based on the theory of stability,sufficient condition on the sampled-data control of the CPS was derived,and a distributed sampling control algorithm was designed on this basis.Numerical simulation results show that;when the communication connection of the controller is equivalent to the coupling degree of the system,the gain of the subsystem controller with strong coupling degree in small;when the maximum sampling time increases,the control constraint quantity of the controller increases.The proposed algorithm can reasonably allocate controller resources in CPS according to the coupling relation of physical processes.