TY - GEN
T1 - A pilot intent estimator for haptic support systems in helicopter maneuvering tasks
AU - D’Intino, Giulia
AU - Olivari, Mario
AU - Geluardi, Stefano
AU - Fabbroni, Davide
AU - Bülthoff, Heinrich H.
AU - Pollini, Lorenzo
N1 - 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.
PY - 2018
Y1 - 2018
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.
UR - http://www.scopus.com/inward/record.url?scp=85044344980&partnerID=8YFLogxK
U2 - 10.2514/6.2018-0116
DO - 10.2514/6.2018-0116
M3 - Conference contribution
AN - SCOPUS:85044344980
SN - 9781624105289
T3 - AIAA Modeling and Simulation Technologies Conference, 2018
BT - AIAA Modeling and Simulation Technologies
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA Modeling and Simulation Technologies Conference, 2018
Y2 - 8 January 2018 through 12 January 2018
ER -