Robust fault estimation and proportional derivative fault tolerant control for a class of singular systems with interval time-varying delay and disturbance

被引:3
作者
Wen, Dixian [1 ]
Sun, Chao [1 ,3 ]
Huang, Shengjuan [1 ]
Yi, Suhuan [2 ]
机构
[1] Univ Sci & Technol LiaoNing, Sch Sci, Anshan, Peoples R China
[2] Univ Sci & Technol LiaoNing, Sch Appl Technol, Anshan, Peoples R China
[3] Univ Sci & Technol LiaoNing, Sch Sci, 185 Middle Qianshan Rd, Anshan 114051, Peoples R China
基金
中国国家自然科学基金;
关键词
fault estimation; fault tolerant control; H(infinity)performance; linear matrix inequality; proportional derivative state feedback; singular systems; STATE-FEEDBACK CONTROL; ACTUATOR FAULT; NEURAL-NETWORKS; OBSERVER; STABILIZATION; NORMALIZATION; STABILITY; DESIGN;
D O I
10.1002/oca.3082
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper deals with observer-based fault estimation (FE) and proportional derivative state feedback fault tolerant control (FTC) schemes for singular systems affected by actuator fault, interval time-varying delay and external disturbance. Firstly, the system transformation method of constructing the derivative matrix into a full-rank matrix is adopted to transform the singular system into a normal system, which effectively eliminates the impulse characteristic of the singular system. Secondly, in the design of the dynamic observer, fault estimation utilizes the real-time output error and its derivative simultaneously, which can achieve better estimation performance when the fault change frequently. Most importantly, the observer-based FTC adopts a proportional derivative state feedback control, considers disturbance and interval time-varying delay, and the introduction of state estimation derivative term can eliminate the impulse property of the closed-loop system, which optimizes the design scheme of the fault-tolerant controller. The obtained sufficient conditions for stability can be solved by the strict linear matrix inequality (LMI), and the superiority of the conclusions will be further verified by the simulations.
引用
收藏
页码:928 / 953
页数:26
相关论文
共 34 条
[1]   Event-triggered fault estimation and sliding mode fault-tolerant control for a class of nonlinear networked control systems [J].
Chu, Xiaoan ;
Li, Muguo .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018, 355 (13) :5475-5502
[2]   Event-triggered H-infinity stabilization for singular systems with state delay [J].
Du, Zhaoping ;
Hu, Songlin ;
Li, Jianzhen .
ASIAN JOURNAL OF CONTROL, 2021, 23 (02) :835-846
[3]  
Duan GR, 2010, ADV MECH MATH, V23, P1, DOI 10.1007/978-1-4419-6397-0_1
[4]   Observer-based control of Takagi-Sugeno descriptor system with time-varying delay: Free-weighting matrix [J].
El Aiss, Hicham ;
Barbosa, Karina A. .
OPTIMAL CONTROL APPLICATIONS & METHODS, 2022, 43 (05) :1379-1400
[5]   State/noise estimator for descriptor systems with application to sensor fault diagnosis [J].
Gao, ZW ;
Ho, DWC .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (04) :1316-1326
[6]   PD observer parametrization design for descriptor systems [J].
Gao, ZW .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2005, 342 (05) :551-564
[7]   Actuator fault reconstruction based on a robust adaptive observer [J].
Han, Zhiguo ;
Zhang, Ke ;
Liu, Haipeng .
IET CONTROL THEORY AND APPLICATIONS, 2018, 12 (15) :2076-2087
[8]   Fault Reconstruction and Fault-Tolerant Control via Learning Observers in Takagi-Sugeno Fuzzy Descriptor Systems With Time Delays [J].
Jia, Qingxian ;
Chen, Wen ;
Zhang, Yingchun ;
Li, Huayi .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (06) :3885-3895
[9]   Adaptive observer-based H-infinity FTC for T-S fuzzy systems. Application to cart motion model [J].
Kharrat, Dhouha ;
Gassara, Hamdi ;
El Hajjaji, Ahmed ;
Chaabane, Mohamed .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (17) :12062-12084
[10]   Adaptive Observer and Fault Tolerant Control for Takagi-Sugeno Descriptor Nonlinear Systems with Sensor and Actuator Faults [J].
Kharrat, Dhouha ;
Gassara, Hamdi ;
El Hajjaji, Ahmed ;
Chaabane, Mohamed .
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2018, 16 (03) :972-982