DocumentCode :
142319
Title :
PHM-based Multi-UAV task assignment
Author :
Paixao de Medeiros, Ivo ; Ramos Rodrigues, Leonardo ; Santos, Ricardo ; Hideiti Shiguemori, Elcio ; Nascimento Junior, Cairo L.
Author_Institution :
EMBRAER S.A., São José dos Campos, Brazil
fYear :
2014
fDate :
March 31 2014-April 3 2014
Firstpage :
42
Lastpage :
49
Abstract :
This paper is relating to the application of Integrated Vehicle Health Management (IVHM) concepts based on Prognostics and Health Monitoring (PHM) techniques to Multi-UAV systems. Considering UAV as a mission critical system, it is expected and required to accomplish its operational objectives with minimal unscheduled interruptions. So that, it does make sense for UAV to take advantage of those techniques as enablers for the readiness of multi-UAV. The main goal of this paper is to apply information from a PHM system to support decision making through an IVHM framework. PHM system information, in this case, comprises UAV remaining useful life (RUL) estimations. UAV RUL is computed by means of a fault tree analysis that it is fed by a distribution function from a probability density function relating time and failure probability for each UAV critical components. The IVHM framework, in this case, it is the task assignment based on UAV health condition (RUL information) using the Receding Horizon Task Assignment (RHTA) algorithm. The study case was developed considering a team of electrical small UAVs and pitch control system was chosen as the critical system.
Keywords :
autonomous aerial vehicles; condition monitoring; decision making; fault trees; mobile robots; multi-robot systems; probability; remaining life assessment; IVHM framework; PHM system information; PHM-based multiUAV task assignment; RHTA algorithm; UAV RUL estimations; UAV critical components; UAV health condition; UAV remaining useful life estimations; decision making; electrical small UAVs; failure probability; fault tree analysis; integrated vehicle health management concepts; pitch control system; probability density function; prognostics and health monitoring techniques; receding horizon task assignment algorithm; time probability; Aircraft; Estimation; Fault trees; Monitoring; Probability; Prognostics and health management; Vehicles; Health Management; Prognostics; Task Assignment; Unmanned Aerial Vehicle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Conference (SysCon), 2014 8th Annual IEEE
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4799-2087-7
Type :
conf
DOI :
10.1109/SysCon.2014.6819234
Filename :
6819234
Link To Document :
بازگشت