![]() ![]() Because this training involves more maneuvering than typical airline training tasks, additional burdens are placed on a simulator in order to provide adequate motion cues. The FAA has mandated pilots be trained in full stall and upset recovery starting in 2019. Results of this comparison between the VMS and Simona will help to provide insights into benchmarking standards important for replicating human performance results in flight simulators. The same experiment was conducted in both simulators, investigating the effect of different motion-filter orders on pilot control behavior and performance. The simplified criteria developed in these experiments hopefully are more in line with current airline operations and would ultimately contribute to improving the current go-around compliance rate.Ī study to help define parameters for simulator benchmarking was completed in June on the vertical motion simulator, VMS, at NASA’s Ames Research Center in California and in August on the Simona Research Simulator at Delft University of Technology in the Netherlands. While most airlines have stabilized-approach criteria as part of their standard operating procedures, a 2012 Flight Safety Foundation study showed crews conduct a go-around only 3 percent of the time when outside of these criteria. Trials look promising and several major airlines have expressed interest, even though it is not yet mandated by regulation.Īs a follow-up to experiments performed in 2017, two level-D training simulators at the FAA Aeronautical Center in Oklahoma City were used this year to verify possible simplified go-around criteria for commercial transport aircraft under different environmental conditions. Simulating the ATC environment has progressed to the stage that international guidance and requirements are being revised for its use. This technology promises to increase immersion, to offer more realistic workloads by fully automating the ATC function and introducing realistic traffic, and to free up the instructor to focus more on core observation and training tasks. Combined, these limitations result in lighter crew workloads in the simulator than in actual operations.Īdvances in artificial intelligence, speech recognition and synthesis are prompting a resurgence in simulating the ATC environment for training scenarios. With vacant taxiways, runways and airways, the synthetic environment is sterile and quiet when compared with increasingly busy traffic levels in the real world. Additionally, other moving aircraft are rarely simulated. Flight crew experiences can vary due to differing instructor skills and focus. Today, even in the most sophisticated flight simulators used for pilot training, the role of air traffic control, ATC, is played by the instructor. The Modeling and Simulation Technical Committee focuses on simulation of atmospheric and spaceflight conditions to train crews and support design and development of aerospace systems. ![]() Aerospace Sciences Simulating air traffic control for training pilots By Daniel Keating |December 2018 ![]()
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