Design of a Haptic Helicopter Trainer for inexperienced pilots

Davide Fabbroni, Stefano Geluardi, Carlo A. Gerboni, Mario Olivari, Giulia D'Intino, Lorenzo Pollini, Heinrich Bulthoff

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This paper investigates the effectiveness of a novel method of training for helicopter pilots, with flight simulators. A software trainer based on haptic force-feedback was implemented, namely the Haptic Helicopter Trainer (HHT). The HHT is an extension of an existing automated trainer based on a Optimal Control pilot Model. With the addition of a force-feedback, the HHT is able to mimic the action of an instructor pilot on dual controls. To test the effectiveness of the HHT with respect to other types of training, an experiment was performed in a fixed-based helicopter simulator with three groups of participants: one group trained with the HHT, one group trained with the automated trainer and a control group. The training was carried out as a realistic flight lesson, divided in phases to bring the student pilots to satisfying skill levels. Results showed that the designed training phases are effective for learning how to stabilize the helicopter model. Moreover, the group trained with the HHT achieved better performances than the other groups, proving the effectiveness of the haptic force-feedback in the training of inexperienced helicopter pilots.

Original languageEnglish
Pages (from-to)2097-2108
Number of pages12
JournalAnnual Forum Proceedings - AHS International
Publication statusPublished - 2017
Externally publishedYes

Fingerprint

Helicopters
Feedback
Flight simulators
Simulators
Students

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Fabbroni, D., Geluardi, S., Gerboni, C. A., Olivari, M., D'Intino, G., Pollini, L., & Bulthoff, H. (2017). Design of a Haptic Helicopter Trainer for inexperienced pilots. Annual Forum Proceedings - AHS International, 2097-2108.

Design of a Haptic Helicopter Trainer for inexperienced pilots. / Fabbroni, Davide; Geluardi, Stefano; Gerboni, Carlo A.; Olivari, Mario; D'Intino, Giulia; Pollini, Lorenzo; Bulthoff, Heinrich.

In: Annual Forum Proceedings - AHS International, 2017, p. 2097-2108.

Research output: Contribution to journalArticle

Fabbroni, D, Geluardi, S, Gerboni, CA, Olivari, M, D'Intino, G, Pollini, L & Bulthoff, H 2017, 'Design of a Haptic Helicopter Trainer for inexperienced pilots', Annual Forum Proceedings - AHS International, pp. 2097-2108.
Fabbroni D, Geluardi S, Gerboni CA, Olivari M, D'Intino G, Pollini L et al. Design of a Haptic Helicopter Trainer for inexperienced pilots. Annual Forum Proceedings - AHS International. 2017;2097-2108.
Fabbroni, Davide ; Geluardi, Stefano ; Gerboni, Carlo A. ; Olivari, Mario ; D'Intino, Giulia ; Pollini, Lorenzo ; Bulthoff, Heinrich. / Design of a Haptic Helicopter Trainer for inexperienced pilots. In: Annual Forum Proceedings - AHS International. 2017 ; pp. 2097-2108.
@article{db7f9a778b854b41ab30e9f97adc3b35,
title = "Design of a Haptic Helicopter Trainer for inexperienced pilots",
abstract = "This paper investigates the effectiveness of a novel method of training for helicopter pilots, with flight simulators. A software trainer based on haptic force-feedback was implemented, namely the Haptic Helicopter Trainer (HHT). The HHT is an extension of an existing automated trainer based on a Optimal Control pilot Model. With the addition of a force-feedback, the HHT is able to mimic the action of an instructor pilot on dual controls. To test the effectiveness of the HHT with respect to other types of training, an experiment was performed in a fixed-based helicopter simulator with three groups of participants: one group trained with the HHT, one group trained with the automated trainer and a control group. The training was carried out as a realistic flight lesson, divided in phases to bring the student pilots to satisfying skill levels. Results showed that the designed training phases are effective for learning how to stabilize the helicopter model. Moreover, the group trained with the HHT achieved better performances than the other groups, proving the effectiveness of the haptic force-feedback in the training of inexperienced helicopter pilots.",
author = "Davide Fabbroni and Stefano Geluardi and Gerboni, {Carlo A.} and Mario Olivari and Giulia D'Intino and Lorenzo Pollini and Heinrich Bulthoff",
year = "2017",
language = "English",
pages = "2097--2108",
journal = "Annual Forum Proceedings - AHS International",
issn = "1552-2938",
publisher = "American Helicopter Society",

}

TY - JOUR

T1 - Design of a Haptic Helicopter Trainer for inexperienced pilots

AU - Fabbroni, Davide

AU - Geluardi, Stefano

AU - Gerboni, Carlo A.

AU - Olivari, Mario

AU - D'Intino, Giulia

AU - Pollini, Lorenzo

AU - Bulthoff, Heinrich

PY - 2017

Y1 - 2017

N2 - This paper investigates the effectiveness of a novel method of training for helicopter pilots, with flight simulators. A software trainer based on haptic force-feedback was implemented, namely the Haptic Helicopter Trainer (HHT). The HHT is an extension of an existing automated trainer based on a Optimal Control pilot Model. With the addition of a force-feedback, the HHT is able to mimic the action of an instructor pilot on dual controls. To test the effectiveness of the HHT with respect to other types of training, an experiment was performed in a fixed-based helicopter simulator with three groups of participants: one group trained with the HHT, one group trained with the automated trainer and a control group. The training was carried out as a realistic flight lesson, divided in phases to bring the student pilots to satisfying skill levels. Results showed that the designed training phases are effective for learning how to stabilize the helicopter model. Moreover, the group trained with the HHT achieved better performances than the other groups, proving the effectiveness of the haptic force-feedback in the training of inexperienced helicopter pilots.

AB - This paper investigates the effectiveness of a novel method of training for helicopter pilots, with flight simulators. A software trainer based on haptic force-feedback was implemented, namely the Haptic Helicopter Trainer (HHT). The HHT is an extension of an existing automated trainer based on a Optimal Control pilot Model. With the addition of a force-feedback, the HHT is able to mimic the action of an instructor pilot on dual controls. To test the effectiveness of the HHT with respect to other types of training, an experiment was performed in a fixed-based helicopter simulator with three groups of participants: one group trained with the HHT, one group trained with the automated trainer and a control group. The training was carried out as a realistic flight lesson, divided in phases to bring the student pilots to satisfying skill levels. Results showed that the designed training phases are effective for learning how to stabilize the helicopter model. Moreover, the group trained with the HHT achieved better performances than the other groups, proving the effectiveness of the haptic force-feedback in the training of inexperienced helicopter pilots.

UR - http://www.scopus.com/inward/record.url?scp=85029637445&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85029637445&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85029637445

SP - 2097

EP - 2108

JO - Annual Forum Proceedings - AHS International

JF - Annual Forum Proceedings - AHS International

SN - 1552-2938

ER -