• 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