网络控制系统的稳定性分析与容错控制研究
[Abstract]:The networked control system connects sensors, controllers and actuators scattered in different locations to form a closed loop distributed control system. Because of the introduction of the network, the networked control system has the advantages of easy installation and maintenance, reducing its own weight and reducing the running cost, thus making the application of the networked control system more extensive and convenient. At the same time, delay, packet loss and variable sampling will affect the performance of networked control system. In this paper, the network control system with time-varying sampling period is studied. The stability analysis, guaranteed cost control and fault-tolerant control are carried out on the basis of modeling. The main work is as follows: 1. For a class of networked control systems with network delay, external disturbance and variable sampling period, the linear and continuous controlled objects studied are discretized by converting the randomly varying sampling period into uncertain parameters of the system. The discrete mathematical model of networked control system. According to the proposed discrete data model, the sufficient conditions for the stability of the time-varying sampling period networked control system and the design method of the related controller are given through Lyapunov stability theory and linear matrix inequality method. For the variable sampling period networked control system with external disturbance, the guaranteed cost control problem of the system is analyzed by linear matrix inequality (LMI) method, and the inequality amplification technique and convex optimization method are used. The design method of guaranteed cost controller for the system is deduced. The fault-tolerant control of networked control system is studied. When there is a fault in the actuator of the system, by describing the actuator fault as a numerical matrix, the existence condition and design method of the fault-tolerant control law of the system are given by using Lyapunov stability theorem.
【学位授予单位】:山东理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TP273
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