Fault Detection of Networked Control System subject to Random Packet Dropout and Multi-Rate Sample Data
作者单位：School of AutomationBeijing Institute of Technology
会议名称：《第36届中国控制会议》
主办单位：Dalian University of Technology;Systems Engineering Society of China (SESC);Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)
会议日期：2017年
学科分类：08[工学] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
基 金：supported by National Natural Science Foundation(NNSF)of China under Grant 61603040 Beijing Institute of Technology Research Fund Program for Young Scholars
关 键 词：Fault detection Residual generation Residual evaluation Packet dropout Multi-rate sensors
摘 要：In this paper,the problem of fault detection is addressed for networked control system（NCS） subject to both random packet dropout and multi-rate sampled data,which is usually unavoidable.Since the networked control system suffers heavy resources competition and network congestion under the limited bandwidth,resulting in multi-rate sampling and data packet dropout.Observer based residual generation and evaluation approach is proposed.First,by lifting the multi-rate multi-sensor model to a single-rate one,a residual generator with causality constraint is obtained.Then,the parameters of the residual generator are achieved by optimizing a performance index,which is robust to the unknown disturbances and packet dropout without loss of the sensitivity to the faults.Finally,an appropriate threshold of residual evaluation is calculated by making full use of the stochastic properties of the disturbances.Simulation results are given to illustrate the effectiveness of the proposed method.