scholarly journals An Integrated Unmanned Aerial Vehicle Navigation System Capable of Fault Detection and Isolation

2016 ◽  
Vol 16 (12) ◽  
Author(s):  
KeKe N
2019 ◽  
Vol 52 (9-10) ◽  
pp. 1228-1239 ◽  
Author(s):  
Julio Alberto Guzmán-Rabasa ◽  
Francisco Ronay López-Estrada ◽  
Brian Manuel González-Contreras ◽  
Guillermo Valencia-Palomo ◽  
Mohammed Chadli ◽  
...  

This paper presents the design of a fault detection and diagnosis system for a quadrotor unmanned aerial vehicle under partial or total actuator fault. In order to control the quadrotor, the dynamic system is divided in two subsystems driven by the translational and the rotational dynamics, where the rotational subsystem is based on a linear parameter-varying model. A robust linear parameter-varying observer applied to the rotational subsystem is considered to detect actuator faults, which can occur as total failures (loss of a propeller or a motor) or partial faults (degradation). Furthermore, fault diagnosis is done by analyzing the displacements of the roll and pitch angles. Numerical experiments are carried out in order to illustrate the effectiveness of the proposed methodology.


2021 ◽  
Vol 33 (2) ◽  
pp. 242-253
Author(s):  
Hiroyuki Ukida ◽  

In this study, we propose an unmanned aerial vehicle (UAV) navigation system using LED panels and QR codes as markers in an indoor environment. An LED panel can display various patterns; hence, we use it as a command presentation device for UAVs, and a QR code can embed various pieces of information, which is used as a sign to estimate the location of the UAV on the way of the flight path. In this paper, we present a navigation method from departure to destination positions in which an obstacle lies between them. In addition, we investigate the effectiveness of our proposed method using an actual UAV.


The system of route correction of an unmanned aerial vehicle (UAV) is considered. For the route correction the on-board radar complex is used. In conditions of active interference, it is impossible to use radar images for the route correction so it is proposed to use the on-board navigation system with algorithmic correction. An error compensation scheme of the navigation system in the output signal using the algorithm for constructing a predictive model of the system errors is applied. The predictive model is building using the genetic algorithm and the method of group accounting of arguments. The quality comparison of the algorithms for constructing predictive models is carried out using mathematical modeling.


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