TY - GEN
T1 - Constrained Control of UAVs in Geofencing Applications
AU - Hermand, Elie
AU - Nguyen, Tam W.
AU - Hosseinzadeh, Mehdi
AU - Garone, Emanuele
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/20
Y1 - 2018/8/20
N2 - This paper focuses on the constrained control of UAVs in geofencing applications. Although geofence systems are becoming more attractive as a research topic, most works are focusing on defining the boundaries of the admissible geographical region without addressing the control issues and boundary-handling problems. In this paper, we propose a constrained control scheme to steer an UAV to the desired position while ensuring constraints satisfaction at all times. To do so, we make use of the recently introduced Explicit Reference Governor framework. The proposed scheme is validated through extensive experimental studies carried out in a laboratory environment.
AB - This paper focuses on the constrained control of UAVs in geofencing applications. Although geofence systems are becoming more attractive as a research topic, most works are focusing on defining the boundaries of the admissible geographical region without addressing the control issues and boundary-handling problems. In this paper, we propose a constrained control scheme to steer an UAV to the desired position while ensuring constraints satisfaction at all times. To do so, we make use of the recently introduced Explicit Reference Governor framework. The proposed scheme is validated through extensive experimental studies carried out in a laboratory environment.
UR - http://www.scopus.com/inward/record.url?scp=85053447104&partnerID=8YFLogxK
U2 - 10.1109/MED.2018.8443035
DO - 10.1109/MED.2018.8443035
M3 - 会議への寄与
AN - SCOPUS:85053447104
SN - 9781538678909
T3 - MED 2018 - 26th Mediterranean Conference on Control and Automation
SP - 217
EP - 222
BT - MED 2018 - 26th Mediterranean Conference on Control and Automation
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th Mediterranean Conference on Control and Automation, MED 2018
Y2 - 19 June 2018 through 22 June 2018
ER -