Rcscarch On Observer-based Fault Detection For Network Control Systems

Networked control systems is a product that has been developed on the integration ofcontrol technology, computer technology and communication technology. Compared with thetraditional control system, it has the advantages of simple wiring, easy installation andmaintenance, shared network resources, perform remote control. In recent years, the networkcontrol system has been widely used in the field of automation and control, the research hot ofscholars at home and abroad has been shaped. The main contents are as follows：First, when the disturbance signal and the fault signal are present, the fault detectionproblem of quantized linear network control systems have been studied. By utilizing lyapunovfunction technique, observer-based fault detection filter was established on linear matrixinequality framework. The effectiveness of the proposed methods was demonstrated bysimulation examples. And extended to the nonlinear domain, the fault detection problem ofquantized nonlinear networked control systems was researched. Considering nonlinear tosufficient Lipschitz condition. Fault detection filter was established, using Matlab simulationexamples verify the stability of the system.Secondly, the fault detection problem of nonlinear networked control systems with data losswas studied. The quantity relation of quantization level and data loss rate to fault detectionperformance was obtained on the linear matrix inequality framework, By using simulationexample to demonstrated the influence of quantization level and data packet loss rate to faultdetection performance.At last, the simple Truetime simulation experiment platform was established. InTruetime1.5, research on the no data packet loss and under the influence of different data packetloss rate with simulation, the stability of system was demonstrated by simulation examples.