The Study Of Reliability Of One Species Of Networked Control System

With the rapid development and wide use of internet and control technology, theoretic study and application of networked control systems has become one of the hot points of control community, and it will be the trend of industrial control in the future. Owing to the introduction of internet to control system, it has become a internalized and distributed new model. So how to describe the reliability of networked control system and anticipate its regular pattern has become one of the most urging problems in NCS, and it is also the main content in this thesis.At first, the basic concept and properties targets of Networked Control System are first introduced, and give the concept of NCS and choose its properties targets. In the meanwhile, introduce two main methods of how to simulate networked control system; then give the Markov reliability model. Using Laplace transferring and Laplace anti-transferring methods to calculate its reliability based on some assumed conditions; after that, aiming at the characteristic of time-varying failure rate of sensors in real control, assume that the failure rates follow sine varying and exponential varying and calculate its reliability; and then aiming at the characteristic of the variety of faults and difficult to estimate its reliability parameter, the Markov reliability model based on fuzzy neural network is presented. Simulation result shows that the neural model is correct. At last, introduce the whole design method of ink pre-configuration distributed control system, a control method based on CC-LINK is given. Then the Markov reliability model and FNN Markov reliability model are used in the system.