多因素耦合复杂飞行情形风险定量评估方法

doi:10.7527/S1000-6893.2013.0086

Abstract

Abstract:

In multi-factor complex flight situations, factors' coupling is secluded, complex and always has the characteristic of irreversibility. Thus, it is difficult to research the modeling and risk evaluation of such flight situations. Representative disadvantage factors' models including aircraft malfunction and atrocious weather are established. Based on the six-DOF non-linear differential equations of aircraft motion, models of disadvantage factors and pilot-in-loop manipulation, a virtual flight testing system for multi-factor flight situation research is developed using MATLAB/Simulink, C language and Flightgear software. Generalized extreme value risk evaluation model based on an improved particle swarm pptimization algorithm is proposed. The most appropriate type of extremum distribution can be found by this model. A random adaptive evolutionary particle swarm optimization (RAE-PSO) is proposed to optimize the fitting process, and the precision and constringency speed are improved. An integrated risk evaluation model for multi-factor coupled complex flight situations is put forward. And a flight test subject in GJB 626A-2006 is used as an example to validate the method's feasibility and validity.

Key words: flight safety, virtual flight test, modeling and simulation, multi-factor coupling, particle swarm optimization, risk evaluation

CLC Number:

V328

LIU Dongliang, XU Haojun, ZHANG Jiuxing. Quantitative Risk Evaluation Methods for Multi-factor Coupling Complex Flight Situations[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, doi: 10.7527/S1000-6893.2013.0086.

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Quantitative Risk Evaluation Methods for Multi-factor Coupling Complex Flight Situations

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