Incipient Fault Detection and Reconstruction Using an Adaptive Sliding-Mode Observer for the Actuators of Fixed-Wing Aircraft

被引:2
作者
Wang, Lina [1 ]
Zhao, Wen [1 ]
Liu, Zhenbao [1 ,2 ]
Dang, Qingqing [1 ]
Zou, Xu [1 ]
Wang, Kai [1 ]
机构
[1] Northwestern Polytech Univ, Sch Civil Aviat, Xian 710021, Peoples R China
[2] Northwestern Polytech Univ, Shenzhen Res Inst, Shenzhen 518057, Peoples R China
关键词
fault reconstruction; fault detection; actuator fault; linear matrix inequality; observer; TOLERANT CONTROL; SENSOR FAULTS; SYSTEMS; STATE; SCHEME; DESIGN;
D O I
10.3390/aerospace10050422
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper proposes a new method of detection and reconstruction of the incipient fault of fixed-wing actuators based on an adaptive sliding-mode observer. First, a mathematical model of a fixed-wing aircraft is derived under certain assumptions, considering nonlinear terms and system disturbances. Second, by introducing a nonsingular coordinate transformation, the incipient faults are separated from the disturbances. For a subsystem with no disturbances, the Luenberger observer can estimate the incipient fault. For a subsystem with disturbances, the sliding-mode observer is robust against these disturbances. The Lyapunov stability theory guarantees dynamic error convergence and system stability. The evaluation function was designed to realize residual evaluation and threshold judgment. Third, based on the concept of equivalent output injection, an adaptive sliding-mode observer method is proposed to reconstruct actuator faults precisely under the condition of the uncertain system structure. The design steps of the proposed reconstruction method are introduced in the form of a linear matrix inequality problem, which provides an effective method for calculating the design parameters. Finally, the simulation results of the De Havilland DHC-2 "Beaver" aircraft demonstrate the correctness and effectiveness of the proposed method.
引用
收藏
页数:27
相关论文
共 39 条
[1]   An adaptive sliding mode differentiator for actuator oscillatory failure case reconstruction [J].
Alwi, Halim ;
Edwards, Christopher .
AUTOMATICA, 2013, 49 (02) :642-651
[2]   Sliding mode estimation schemes for incipient sensor faults [J].
Alwi, Halim ;
Edwards, Christopher ;
Tan, Chee Pin .
AUTOMATICA, 2009, 45 (07) :1679-1685
[3]   Simultaneous Actuator and Sensor Faults Reconstruction Based on Robust Sliding Mode Observer for a Class of Nonlinear Systems [J].
Ben Brahim, Ali ;
Dhahri, Slim ;
Ben Hmida, Faycal ;
Sellami, Anis .
ASIAN JOURNAL OF CONTROL, 2017, 19 (01) :362-371
[4]  
Chandra KPB, 2016, CONF CONTR FAULT-TOL, P805, DOI 10.1109/SYSTOL.2016.7739846
[5]   Robust Adaptive Fault-Tolerant Control for Hypersonic Flight Vehicles with Multiple Faults [J].
Chen, Fuyang ;
Wang, Zheng ;
Tao, Gang ;
Jiang, Bin .
JOURNAL OF AEROSPACE ENGINEERING, 2015, 28 (04)
[6]   ToMFIR-based fault detection approach in frequency domain [J].
Chen, Wen ;
Yeh, Chih Ping ;
Yang, Hanlong .
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2011, 22 (01) :33-37
[7]   INSTRUMENT FAULT-DETECTION [J].
CLARK, RN .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1978, 14 (03) :456-465
[8]   State and input estimation for a class of uncertain systems [J].
Corless, M ;
Tu, J .
AUTOMATICA, 1998, 34 (06) :757-764
[9]   Fault prediction for nonlinear stochastic system with incipient faults based on particle filter and nonlinear regression [J].
Ding, Bo ;
Fang, Huajing .
ISA TRANSACTIONS, 2017, 68 :327-334
[10]   A comparison of sliding mode and unknown input observers for fault reconstruction [J].
Edwards, Christopher ;
Tan, Chee Pin .
EUROPEAN JOURNAL OF CONTROL, 2006, 12 (03) :245-260