Tesi etd-03172017-114313 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
FABBRONI, DAVIDE
URN
etd-03172017-114313
Titolo
Design and Evaluation of an Adaptive Helicopter Trainer with Haptic Force-Feedback for Inexperienced Pilots
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA ROBOTICA E DELL'AUTOMAZIONE
Relatori
relatore Prof. Pollini, Lorenzo
Parole chiave
- aptica
- controllo ottimo
- elicotteri
- modello di pilota
- simulatori di volo
- training
- transfer of training
Data inizio appello
04/05/2017
Consultabilità
Non consultabile
Data di rilascio
04/05/2087
Riassunto
The aim of this thesis is to investigate the effectiveness of flight simulators in the training of inexperienced helicopter pilots. In particular, by developing methods of training that are able to exploit the flexibility and intrinsic safeness of simulators, their effectiveness can be greatly improved.
In this study an haptic-based software trainer was developed. This software trainer, called Haptic Helicopter Trainer, is based on the Optimal Control Model and lays the groundwork for the use of haptic force-feedback on strongly coupled, multiple-input multiple-output systems, such helicopters.
The Haptic Helicopter Trainer was tested within a structured training experiment in a fixed-based flight simulator and compared to an existing automated software trainer. The results of this experiment proved the effectiveness of the novel method of training for inexperienced helicopter pilots and the applicability of the haptic force-feedback on complex systems.
In order to further validate the training method designed for the fixed-based flight simulator, a Transfer-of-Training experiment was then performed in a motion-based simulator, resembling the actual helicopter. The results showed that participants trained in the first experiment were able to transfer the skills acquired in the fixed-based simulator to the highly-realistic helicopter simulator.
In this study an haptic-based software trainer was developed. This software trainer, called Haptic Helicopter Trainer, is based on the Optimal Control Model and lays the groundwork for the use of haptic force-feedback on strongly coupled, multiple-input multiple-output systems, such helicopters.
The Haptic Helicopter Trainer was tested within a structured training experiment in a fixed-based flight simulator and compared to an existing automated software trainer. The results of this experiment proved the effectiveness of the novel method of training for inexperienced helicopter pilots and the applicability of the haptic force-feedback on complex systems.
In order to further validate the training method designed for the fixed-based flight simulator, a Transfer-of-Training experiment was then performed in a motion-based simulator, resembling the actual helicopter. The results showed that participants trained in the first experiment were able to transfer the skills acquired in the fixed-based simulator to the highly-realistic helicopter simulator.
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