A pilot intent estimator for haptic support systems in helicopter maneuvering tasks

Giulia D’Intino; Mario Olivari; Stefano Geluardi; Davide Fabbroni; Heinrich H. Bülthoff; Lorenzo Pollini

doi:10.2514/6.2018-0116

A pilot intent estimator for haptic support systems in helicopter maneuvering tasks

Giulia D’Intino, Mario Olivari, Stefano Geluardi, Davide Fabbroni, Heinrich H. Bülthoff, Lorenzo Pollini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

Haptic support systems are commonly designed as feedback systems that track a known trajectory. However, when a pilot performs a maneuver in a free airspace, the desired trajectory is not known a priori. Thus, an estimation of the pilot intended trajectory is needed. This paper investigates the estimation of the pilot desired trajectory for designing a haptic support system that helps pilots perform helicopter maneuvers in a free airspace. A probabilistic algorithm is implemented to estimate the pilot intended trajectory according to the actions made on the control devices. The haptic aid is developed as a feedback controller able to follow the estimated intended trajectory. Two simulations were conducted to test the effectiveness of the proposed algorithm. First, filtered step-wise pilot control inputs were considered. Then, real pilot inputs were employed, which were recorded in a lateral reposition maneuver performed on a motion simulator. The developed algorithm was able to recognize the intended path according to the given pilot inputs in both scenarios.

Original language	English
Title of host publication	AIAA Modeling and Simulation Technologies
Publisher	American Institute of Aeronautics and Astronautics Inc, AIAA
Edition	209959
ISBN (Print)	9781624105289
DOIs	https://doi.org/10.2514/6.2018-0116
Publication status	Published - 2018
Event	AIAA Modeling and Simulation Technologies Conference, 2018 - Kissimmee, United States Duration: 2018 Jan 8 → 2018 Jan 12

Publication series

Name	AIAA Modeling and Simulation Technologies Conference, 2018
Number	209959
Volume	0

Other

Other	AIAA Modeling and Simulation Technologies Conference, 2018
Country/Territory	United States
City	Kissimmee
Period	18/1/8 → 18/1/12

Bibliographical note

Funding Information:
The work of the last author was partially supported by UNIPI-Project PRA-2017-41.

Publisher Copyright:
© 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

ASJC Scopus subject areas

Modelling and Simulation
Aerospace Engineering

Access to Document

10.2514/6.2018-0116

Cite this

D’Intino, G., Olivari, M., Geluardi, S., Fabbroni, D., Bülthoff, H. H., & Pollini, L. (2018). A pilot intent estimator for haptic support systems in helicopter maneuvering tasks. In AIAA Modeling and Simulation Technologies (209959 ed.). (AIAA Modeling and Simulation Technologies Conference, 2018; Vol. 0, No. 209959). American Institute of Aeronautics and Astronautics Inc, AIAA. https://doi.org/10.2514/6.2018-0116

A pilot intent estimator for haptic support systems in helicopter maneuvering tasks. / D’Intino, Giulia; Olivari, Mario; Geluardi, Stefano et al.
AIAA Modeling and Simulation Technologies. 209959. ed. American Institute of Aeronautics and Astronautics Inc, AIAA, 2018. (AIAA Modeling and Simulation Technologies Conference, 2018; Vol. 0, No. 209959).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

D’Intino, G, Olivari, M, Geluardi, S, Fabbroni, D, Bülthoff, HH & Pollini, L 2018, A pilot intent estimator for haptic support systems in helicopter maneuvering tasks. in AIAA Modeling and Simulation Technologies. 209959 edn, AIAA Modeling and Simulation Technologies Conference, 2018, no. 209959, vol. 0, American Institute of Aeronautics and Astronautics Inc, AIAA, AIAA Modeling and Simulation Technologies Conference, 2018, Kissimmee, United States, 18/1/8. https://doi.org/10.2514/6.2018-0116

D’Intino G, Olivari M, Geluardi S, Fabbroni D, Bülthoff HH, Pollini L. A pilot intent estimator for haptic support systems in helicopter maneuvering tasks. In AIAA Modeling and Simulation Technologies. 209959 ed. American Institute of Aeronautics and Astronautics Inc, AIAA. 2018. (AIAA Modeling and Simulation Technologies Conference, 2018; 209959). doi: 10.2514/6.2018-0116

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title = "A pilot intent estimator for haptic support systems in helicopter maneuvering tasks",

abstract = "Haptic support systems are commonly designed as feedback systems that track a known trajectory. However, when a pilot performs a maneuver in a free airspace, the desired trajectory is not known a priori. Thus, an estimation of the pilot intended trajectory is needed. This paper investigates the estimation of the pilot desired trajectory for designing a haptic support system that helps pilots perform helicopter maneuvers in a free airspace. A probabilistic algorithm is implemented to estimate the pilot intended trajectory according to the actions made on the control devices. The haptic aid is developed as a feedback controller able to follow the estimated intended trajectory. Two simulations were conducted to test the effectiveness of the proposed algorithm. First, filtered step-wise pilot control inputs were considered. Then, real pilot inputs were employed, which were recorded in a lateral reposition maneuver performed on a motion simulator. The developed algorithm was able to recognize the intended path according to the given pilot inputs in both scenarios.",

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AU - Bülthoff, Heinrich H.

AU - Pollini, Lorenzo

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N2 - Haptic support systems are commonly designed as feedback systems that track a known trajectory. However, when a pilot performs a maneuver in a free airspace, the desired trajectory is not known a priori. Thus, an estimation of the pilot intended trajectory is needed. This paper investigates the estimation of the pilot desired trajectory for designing a haptic support system that helps pilots perform helicopter maneuvers in a free airspace. A probabilistic algorithm is implemented to estimate the pilot intended trajectory according to the actions made on the control devices. The haptic aid is developed as a feedback controller able to follow the estimated intended trajectory. Two simulations were conducted to test the effectiveness of the proposed algorithm. First, filtered step-wise pilot control inputs were considered. Then, real pilot inputs were employed, which were recorded in a lateral reposition maneuver performed on a motion simulator. The developed algorithm was able to recognize the intended path according to the given pilot inputs in both scenarios.

AB - Haptic support systems are commonly designed as feedback systems that track a known trajectory. However, when a pilot performs a maneuver in a free airspace, the desired trajectory is not known a priori. Thus, an estimation of the pilot intended trajectory is needed. This paper investigates the estimation of the pilot desired trajectory for designing a haptic support system that helps pilots perform helicopter maneuvers in a free airspace. A probabilistic algorithm is implemented to estimate the pilot intended trajectory according to the actions made on the control devices. The haptic aid is developed as a feedback controller able to follow the estimated intended trajectory. Two simulations were conducted to test the effectiveness of the proposed algorithm. First, filtered step-wise pilot control inputs were considered. Then, real pilot inputs were employed, which were recorded in a lateral reposition maneuver performed on a motion simulator. The developed algorithm was able to recognize the intended path according to the given pilot inputs in both scenarios.

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A pilot intent estimator for haptic support systems in helicopter maneuvering tasks

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