Fault estimation observer design for descriptor-LPV systems with unmeasurable gain scheduling functions

Author(s):  
F.R. Lopez-Estrada ◽  
J-C Ponsart ◽  
C.M. Astorga-Zaragoza ◽  
D. Theilliol
2015 ◽  
Vol 48 (21) ◽  
pp. 1012-1017 ◽  
Author(s):  
F.R. López-Estrada ◽  
J.C. Ponsart ◽  
D. Theilliol ◽  
C.M. Astorga-Zaragoza ◽  
M. Flores-Montiel

2018 ◽  
Vol 49 (14) ◽  
pp. 2996-3006 ◽  
Author(s):  
J. A. Brizuela Mendoza ◽  
F. D. J. Sorcia Vázquez ◽  
C. H. Guzmán Valdivia ◽  
R. Osorio Sánchez ◽  
M. Martínez García

2015 ◽  
Vol 88 (11) ◽  
pp. 2380-2391 ◽  
Author(s):  
F.R. López Estrada ◽  
J.C. Ponsart ◽  
D. Theilliol ◽  
C.M. Astorga-Zaragoza

2021 ◽  
Vol 229 ◽  
pp. 01020
Author(s):  
Kaoutar Ouarid ◽  
Abdellatif El Assoudi ◽  
Jalal Soulami ◽  
El Hassane El Yaagoubi

This paper investigates the problem of observer design for simultaneous states and faults estimation for a class of discrete-time descriptor linear models in presence of actuator and sensor faults. The idea of the present result is based on the second equivalent form of implicit model [1] which permits to separate the differential and algebraic equations in the considered singular model, and the use of an explicit augmented model structure. At that stage, an observer is built to estimate simultaneously the unknown states, the actuator faults, and the sensor faults. Next, the explicit structure of the augmented model is established. Then, an observer is built to estimate simultaneously the unknown states, the actuator faults, and the sensor faults. By using the Lyapunov approach, the convergence of the state estimation error of the augmented system is analyzed, and the observer’s gain matrix is achieved by solving only one linear matrix inequality (LMI). At long last, an illustrative model is given to show the performance and capability of the proposed strategy.


2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Jian Shen ◽  
Qingyu Zhu ◽  
Xiaoguang Wang ◽  
Pengyun Chen

In this paper, the typical fault estimation and dynamic analysis are presented for a leader-follower unmanned aerial vehicle (UAV) formation system with external disturbances. Firstly, a dynamic model with proportional navigation guidance (PNG) control of the UAV formation is built. Then, an intermediate observer design method is adopted to estimate the system states and faults simultaneously. Based on the graph theory, the topology relationship between each node in the UAV formation has been also analyzed. The estimator and the system error have been created. Moreover, the typical faults, including the components failure, airframe damage, communication failure, formation collision, and environmental impact, are also discussed for the UAV system. Based on the fault-tolerant strategy, five familiar fault models are proposed from the perspectives of fault estimation, dynamical disturbances, and formation cooperative control. With an analysis of the results of states and faults estimation, the actuator faults can be estimated precisely with component failure and wind disturbances. Furthermore, the basic dynamic characteristics of the UAV formation are discussed. Besides, a comparison of two cases related to the wind disturbance has been accomplished to verify the performance of the fault estimator and controller. The results illustrate the credibility and applicability of the fault estimation and dynamic control strategies for the UAV system which are proposed in this paper. Finally, an extension about the UAV formation prognostic health management system is expounded from the point of view of the fault-tolerant control, dynamic modeling, and multifault estimation.


2015 ◽  
Vol 48 (21) ◽  
pp. 1018-1023 ◽  
Author(s):  
Tamas Luspay ◽  
Balázs Kulcsár ◽  
Karolos Grigoriadis

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