Sensor Fault Diagnosis Observer Design for Linear Sampled-Data Descriptor System with Time-Vary Delay  

作　　者：Mao Wang Tiantian Liang Zhenhua Zhou 

机构地区：[1]Space Control and Inertial Technology Research Center,Harbin Institute of Technology,Harbin 150001,China [2]Changzhou Vocational Institute of Light Industry Technology,Changzhou 213000,Jiangsu,China

出　　处：《Journal of Harbin Institute of Technology(New Series)》2019年第6期8-18,共11页哈尔滨工业大学学报（英文版）

基　　金：Sponsored by the National Natural Science Foundation of China(Grant No.61021002)

摘　　要：In this paper, a robust sensor fault diagnosis observer with non-singular structure is proposed for a class of linear sampled-data descriptor system with state time-vary delay. Firstly, a sampled-data descriptor model with time-vary delay is proposed and transformed into a discrete-time non-singular one. Then, a robust sensor fault diagnosis observer is proposed based on the state estimation error and the measurement residual, this observer can guarantee the robustness of the residual against the augmented disturbance and the sensor fault, which means the H∞ performance index is satisfied. As the confining matrix of the designed observer parameters does not meet the Linear Matrix Inequality (LMI), a cone complementary linearization (CCL) algorithm is proposed to solve this problem. The decision logic of the residual is obtained by the residual evaluation function. Simulation results show the effectiveness of the method.In this paper, a robust sensor fault diagnosis observer with non-singular structure is proposed for a class of linear sampled-data descriptor system with state time-vary delay. Firstly, a sampled-data descriptor model with time-vary delay is proposed and transformed into a discrete-time non-singular one. Then, a robust sensor fault diagnosis observer is proposed based on the state estimation error and the measurement residual, this observer can guarantee the robustness of the residual against the augmented disturbance and the sensor fault, which means the H_∞ performance index is satisfied. As the confining matrix of the designed observer parameters does not meet the Linear Matrix Inequality(LMI), a cone complementary linearization(CCL) algorithm is proposed to solve this problem. The decision logic of the residual is obtained by the residual evaluation function. Simulation results show the effectiveness of the method.

关 键 词：descriptor system sampled-data system time-vary delay sensor fault diagnosis observer design 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]