A new safety certification method for high-risk flight testing subjects

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.