Analysis Of Time Delay And Predictive Controller Design In Wireless Network Control System

With the development of science and technology,the wireless network control system(WiNCS)which is made up of wireless sensor through wireless connection comes into being owing to its easy installation,no need to wiring,adapt to bad environment,realize remote operation and easy extension.But because of the existence of the wireless network,some problem such as time delay,packet loss,network congestion,and other issues,which will reduce the control performance of the whole network,even make the system unstable,among them,the time delay due to the randomness is bigger,therefore it plays a role of main disturbance on system performance.This thesis mainly studies the problem of randomness of time delay in wireless network control system.The research framework of this thesis is as follows.The composition and influencing factors of time delay in wireless network control system are analyzed firstly.And then the use of MATLAB in the True Time-2.0 toolbox set up a wireless network control system,studying the influence of Time delay in control system stability.In order to eliminate the influence of time delay on control performance,this article first from the perspective of communication,the topology of wireless sensor areas are analyzed and improved,putting forward the hierarchical topology structure of the Sink node.On the basis of those,the LEACH algorithm was improved and advance the dynamic meshing routing algorithm based on geographic location.The simulation results show that the dynamic grid partitioning routing algorithm based on geographic location reduces the energy consumption of nodes and the time of the first node is stable.From the perspective of the controller design,this article also explains that it models the time delay by the Markov chain,design the predictive controller with the remote compensator,construct suitable Lyapunov-Krasovskii function,and proves that the controller designed in this thesis can make the system stable.Finally,the simulation proves the conclusion by an example.