TY - JOUR
T1 - Resilient multi-UAS coordination using cooperative localization
AU - Uppaluru, Harshvardhan
AU - Emadi, Hamid
AU - Rastgoftar, Hossein
N1 - Publisher Copyright:
© 2022 Elsevier Masson SAS
PY - 2022/12
Y1 - 2022/12
N2 - Over the last decade, Multi-UAS system (MUS) have found a variety of applications such as surveillance, data acquisition, search and rescue, and delivery tasks in various environments. However, for reliable operation of MUS, it is critical to provide safety guarantee conditions assuring obstacle collision avoidance, as well as, inter-UAS collision avoidance. In this work, we apply the principles of continuum mechanics to develop a physics-inspired algorithm to ascertain safe and resilient operation of a MUS in the presence of disturbances and unforeseen UAS failure(s). In particular, the proposed approach consists of two modes: (i) Homogeneous Deformation Mode (HDM), and (ii) Failure Resilient Mode (FRM). We formally specify transitions between HDM and FRM using Cooperative Localization (CL) approach to quantify UAS tracking error and detect anomalous conditions due to UAS failure.
AB - Over the last decade, Multi-UAS system (MUS) have found a variety of applications such as surveillance, data acquisition, search and rescue, and delivery tasks in various environments. However, for reliable operation of MUS, it is critical to provide safety guarantee conditions assuring obstacle collision avoidance, as well as, inter-UAS collision avoidance. In this work, we apply the principles of continuum mechanics to develop a physics-inspired algorithm to ascertain safe and resilient operation of a MUS in the presence of disturbances and unforeseen UAS failure(s). In particular, the proposed approach consists of two modes: (i) Homogeneous Deformation Mode (HDM), and (ii) Failure Resilient Mode (FRM). We formally specify transitions between HDM and FRM using Cooperative Localization (CL) approach to quantify UAS tracking error and detect anomalous conditions due to UAS failure.
KW - Continuum deformation coordination
KW - Multi-UAS (MUS)
KW - State estimation
KW - Unmanned aerial systems (UAS)
UR - https://www.scopus.com/pages/publications/85141340334
UR - https://www.scopus.com/inward/citedby.url?scp=85141340334&partnerID=8YFLogxK
U2 - 10.1016/j.ast.2022.107960
DO - 10.1016/j.ast.2022.107960
M3 - Article
AN - SCOPUS:85141340334
SN - 1270-9638
VL - 131
JO - Aerospace Science and Technology
JF - Aerospace Science and Technology
M1 - 107960
ER -