Analysis between Flight Training and Flight Simulator Training in Helicopter Flight Training Course

Flight Simulator Training: Assessing the Potential

Mental workload is an important concept and has been proven to be a precursor to situation awareness and operative performance. This thesis describes methods to measure mental workload through self-ratings and psychophysiological measurements. Similarities and differences in psychophysiological reactions and rated mental workload between simulated and real flights are described. The consequence...

Flight Instructor Training Module

The Implications of Image Collimation for Flight Simulator Training

There is some question as to whether non-collimated (i.e., real) imagery viewed at one meter or less provides sufficiently realistic visual cues to support out-the-window flight simulator training. As a first step toward answering this question, we have obtained perceived size and velocity estimates using both simple stimuli in a controlled laboratory setting and full simulator imagery in an ap...

Helicopter Rotor Airloads Prediction Using CFD and Flight Test Measurement in Hover Flight

An implicit unsteady upwind solver including a mesh motion approach was applied to simulate a helicopter including body, main rotor and tail rotor in hover flight. The discretization was based on a second order finite volume approach with fluxes given by the Roeand#39;s scheme. Discretization of Geometric Conservation Laws (GCL) was devised in such a way that the three-dimensional flows on arbi...

Intelligent Automated Agents for Flight Training Simulators

Training in ight simulators will be more eeective if the agents involved in the simulation behave realistically. Accomplishing this requires that the automated agents be under autonomous, intelligent control. We are using the Soar cognitive architecture to implement intelligent agents that behave as much like humans as possible. In order to approximate human behavior, the agents must integrate ...