Control And Scheduling Co-design Of Networked Control Systems

Networked Control Systems (NCSs) has developed rapidly and been widely used due to its own advantages, which is the production coming from the combination of network and control. Because network is the carrier of information transmission, networked scheduling problem exists inevitably, therefore, the quality of networked scheduling algorithm of a networked control systems directly affects the performance of the systems. So the networked scheduling has been becoming a hot topic in the networked control systems research areas currently.In order to realize control and scheduling co-design, this thesis mainly study networked scheduling problem of networked control systems, prime works are as follows:1. The basic concepts, existing problems, present research direction and purpose and significance of networked control systems are introduced.2. Based on the real-time control feedback mechanisms, a dynamic network scheduler is designed. According to the designed scheduling algorithm and the application of current network, the sampling period of networked control systems is adjusted to online real-time, thereby scheduling control data of network, and then the network resources are obtained sufficient and reasonable application. The proposed dynamic scheduler is consisted of the monitoring module, control module and execution module of network performance. Finally, the scheduler is used to progress simulation in the network control system, thereby illustrating the rationality and superiority of the scheduler.3. The designed scheduling algorithm is real-time to adjust the sampling period, thus, the variable-period problem should be considered in the modeling process. Specifically, several sampling period is introduced to compose a set, in this way the systems can be considered as a switched sampling period systems, naturally, the networked control systems is modeled as a switched delay systems, through the research of the model, performance feedback scheduler is given to stabilize the systems, finally, the goal of realize control and scheduling co-design achieved.