Research On Control Strategy Of Networked System With Limited Communication

Due to the rapid development of automatic control,network technology and microelectronics technology,a variety of intelligent sensors and intelligent control chips are available in the market.Networked control system has become a hot issue in the field of industrial automation control.Networked control system has the advantages of resource sharing,simple structure,higher reliability and flexibility,and remote control.However,networked control system still has some problems that are difficult to solve.Because the information is transmitted in the network,and the network bandwidth is usually limited,there are inevitably communication constraints such as medium access constraints,packet dropout and quantization,which pose a great threat to the performance of the system.In this thesis,the design of controller/filter for networked control system with multiple communication constraints is investigated:Firstly,for networked control system with medium access constraints and signal quantization,the problem of dynamic output feedback control is researched.The signal quantization error is treated as sector bounded uncertainty,and then the networked control system is modeled as a discrete-time Markov jump system according to the random access mechanism of the system.The sufficient conditions for the stability of the system are derived by Lyapunov stability theory and linear matrix inequality technique.Meanwhile,the dynamic output feedback controller is designed to make the networked control system asymptotically stable.Finally,a simulation example is given to verify the effectiveness of the proposed control method.Secondly,the problem of robust predictive control is investigated for networked control system with medium access constraints and packet dropout.In view of the above-mentioned communication constraints,the medium access constraint is described as a Markov jump process,and the Bernoulli i.i.d.is used to describe the packet dropout phenomenon,so that the system is modeled as a Markov jump system.On this basis,the robust predictive controller of the system is designed to make the networked control system asymptotically stable.Finally,a simulation example is given to verify the effectiveness of the proposed control method.Thirdly,for networked control system with medium access constraints,packet dropout and quantization,the problem of dissipative filtering is researched.By modeling the system as a discrete-time system which can be represented by a switched T-S fuzzy model,with the help of Lyapunov stability theory based on fuzzy basis,the dissipative performance of the system is guaranteed under the given sufficient conditions,and the corresponding filter is designed.Finally,a simulation example is given to verify the effectiveness of the proposed method.Finally,the main research work of this thesis is summarized,some research results are given,and the future research work is combed and prospected.