DocumentCode :
2309008
Title :
A new safety certification method for high-risk flight testing subjects
Author :
Liu, Dongliang ; Xu, Haojun ; Zhou, Li ; Pei, Binbin
Author_Institution :
Dept. of Aircraft & Aeroengine, Air Force Eng. Univ., Xi´´an, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
3555
Lastpage :
3560
Abstract :
Flight test subjects have high risk and difficult to evaluate quantificationally. A test pilot model based on distribution hypothesis verification is proposed to obtain the test pilot´s manipulation parameter. Delay time is selected as an example to illustrate the method. Aircraft model and hydraulic system model is established. Failure model of hydraulic system´s sensor and actuator malfunction, oil block and pump power were set up and simulated by Simulink and AMESim. To improve the precision of flight risk assessment, an improved extreme value risk evaluation model based on nonlinearly decreasing weight particle swarm optimization (NDW-PSO based EVT) is proposed. Dynamic simulation from component level to aircraft level was realized by a comprehensive virtual flight testing (VFT) framework based on AMESim, MATLAB/Simulink and Flightgear cross-connect. NO.43 risky subject about “hydraulic system malfunction” in Chinese GJB 626A-2006 was chosen as an example. Influence of hydraulic system failure to flight safety was analyzed and safety amelioration measures were proposed, which illustrate the former proposed method´s validity.
Keywords :
aerospace safety; aerospace simulation; hydraulic systems; sensors; AMESim; Simulink; actuator malfunction; aircraft level; aircraft model; comprehensive virtual flight testing framework; delay time; distribution hypothesis verification; dynamic simulation; failure model; flight risk assessment; flight safety; flightgear cross connect; high risk flight testing subject; hydraulic system failure; hydraulic system malfunction; hydraulic system model; hydraulic system sensor; nonlinearly decreasing weight particle swarm optimization; oil block; pump power; risk evaluation model; safety amelioration measures; safety certification method; test pilot manipulation parameter; test pilot model; Aircraft; Atmospheric modeling; Hydraulic systems; Mathematical model; Safety; Software packages; Testing; complex system modeling; particle swarm optimization; risk evaluation; safety certification; virtual flight testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6359063
Filename :
6359063
Link To Document :
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