A robust fault detection for control system of morphing aerial vehicle based on switched system approach

Author(s):  
Zhen Jia ◽  
Chaoyang Dong ◽  
Haoyu Cheng ◽  
Qing Wang
Author(s):  
Hao Yang ◽  
Bin Jiang ◽  
Vincent Cocquempot ◽  
Lingli Lu

Supervisory fault tolerant control with integrated fault detection and isolation: A switched system approachThis paper focuses on supervisory fault tolerant control design for a class of systems with faults ranging over a finite cover. The proposed framework is based on a switched system approach, and relies on a supervisory switching within a family of pre-computed candidate controllers without individual fault detection and isolation schemes. Each fault set can be accommodated either by one candidate controller or by a set of controllers under an appropriate switching law. Two aircraft examples are included to illustrate the efficiency of the proposed method.


2018 ◽  
Vol 28 (2) ◽  
pp. 349-362 ◽  
Author(s):  
Hai Liu ◽  
Maiying Zhong ◽  
Rui Yang

Abstract This paper deals with the problem of robust fault detection (FD) for an unmanned aerial vehicle (UAV) flight control system (FCS). A nonlinear model to describe the UAV longitudinal motions is introduced, in which multiple sources of disturbances include wind effects, modeling errors and sensor noises are classified into groups. Then the FD problem is formulated as fault detection filter (FDF) design for a kind of nonlinear discrete time varying systems subject to multiple disturbances. In order to achieve robust FD performance against multiple disturbances, simultaneous disturbance compensation and H1/H∞ optimization are carried out in designing the FDF. The optimality of the proposed FDF is shown in detail. Finally, both simulations and real flight data are applied to validate the proposed method. An improvement of FD performance is achieved compared with the conventional H1/H∞-FDF.


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