Pilot controller design using the CTU flight simulator for shared situation awareness

Author(s):  
Pavel Paces ◽  
Rudolf Jalovecky ◽  
Erik Blasch ◽  
Jan Stanek
2006 ◽  
Vol 27 (7) ◽  
pp. 967-987 ◽  
Author(s):  
Emilie M. Roth ◽  
Jordan Multer ◽  
Thomas Raslear

Cooperative strategies of individuals within a distributed organization can contribute to increased efficiency of operations and safety. We examine these processes in the context of a particular work domain: railroad operations. Analyses revealed a variety of informal cooperative strategies that railroad workers have developed that span across multiple railroad crafts including roadway workers, train crews, and railroad dispatchers. These informal, proactive communications foster shared situation awareness across the distributed organization, facilitate work, and contribute to the overall efficiency, safety, and resilience to error of railroad operations. We discuss design implications for leveraging new digital technologies and location-finding systems to more effectively support these informal strategies, enhance shared situation awareness, and promote high reliability performance.


Author(s):  
YUNJIE WU ◽  
BAITING LIU ◽  
WULONG ZHANG ◽  
XIAODONG LIU

For flight simulator system, a kind of Adaptive Backstepping Sliding Mode Controller (ABSMC) based on Radial Base Function Neural Network (RBFNN) observer is presented. The sliding mode control theory is famous by its characteristic that it is insensitive to the external disturbances and parameters uncertainties. Combining this characteristic with Backstepping method can simplifies the controller design. And the addition of the terminal attractor can make the arrival time shorten greatly. However, too large external disturbances and parameters uncertainties are still not allowed to the system, and the design process of ABSMC does not have the upper bound information of disturbance until a RBFNN observer is designed to solve the problems. The simulation results show that the proposed scheme can improve the tracking precision and reduce the chattering of the control input, and the system has a higher robustness.


Author(s):  
Andrew R. Dattel ◽  
Francis T. Durso ◽  
Raynald Bédard

Forty-eight student pilots and recently licensed private pilots were randomly assigned to one of three training groups: procedural, conceptual, and control. Participants in the procedural group spent approximately two hours reading text and watching videos specific to the step-by-step procedures of how to fly traffic patterns and land an airplane. Participants in the conceptual group spent approximately two hours reading reasoning explanations, everyday metaphors to aviation, and viewing diagrams of traffic patterns and landings. Participants in the control group spent approximately two hours watching aviation-themed videos and reading aviation-themed text, but unrelated to traffic patterns, landings, or any other flight task. During training, participants answered questions specific to the material they were reading or watching. At the conclusion of the training participants were tested on typical and atypical traffic pattern performance, typical and atypical landing performance, and routine and non routine situations for 20 minutes in a medium fidelity flight simulator. Conceptual training was best for traffic pattern performance and atypical landings. Additionally, the conceptual group had better situation awareness than the procedural and control groups for landing situations and non routine traffic pattern situations. Finally, the procedural group did not show better performance than the control group on any test.


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