TY - GEN
T1 - Waypoint-to-waypoint energy-efficient path planning for multi-copters
AU - Kumbhare, Nirmal
AU - Rao, Aakarsh
AU - Gniady, Chris
AU - Fink, Wolfgang
AU - Rozenblit, Jerzy
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/7
Y1 - 2017/6/7
N2 - Flight time is a key aspect for ubiquitous deployment of unmanned multi-copters. The duration of flight depends on on-board component efficiency along with the battery capacity of the multi-copter. The propulsion system (motor and propeller) of the multi-copter consumes more than ∼60% of the battery energy. In this paper, we present a novel algorithm for finding an energy-efficient path between two waypoints in three dimensional space. The algorithm takes into consideration the mechanical and electrical properties of its propulsion system along with the dimensions of the obstacle space to determine an energy efficient flying path. Through detailed simulations of real world flying scenarios we demonstrate that our algorithm provides ∼30 % energy savings for mid-range flights as compared to traditional line-of-sight approaches.
AB - Flight time is a key aspect for ubiquitous deployment of unmanned multi-copters. The duration of flight depends on on-board component efficiency along with the battery capacity of the multi-copter. The propulsion system (motor and propeller) of the multi-copter consumes more than ∼60% of the battery energy. In this paper, we present a novel algorithm for finding an energy-efficient path between two waypoints in three dimensional space. The algorithm takes into consideration the mechanical and electrical properties of its propulsion system along with the dimensions of the obstacle space to determine an energy efficient flying path. Through detailed simulations of real world flying scenarios we demonstrate that our algorithm provides ∼30 % energy savings for mid-range flights as compared to traditional line-of-sight approaches.
UR - http://www.scopus.com/inward/record.url?scp=85021207332&partnerID=8YFLogxK
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U2 - 10.1109/AERO.2017.7943654
DO - 10.1109/AERO.2017.7943654
M3 - Conference contribution
AN - SCOPUS:85021207332
T3 - IEEE Aerospace Conference Proceedings
BT - 2017 IEEE Aerospace Conference
PB - IEEE Computer Society
T2 - 2017 IEEE Aerospace Conference, AERO 2017
Y2 - 4 March 2017 through 11 March 2017
ER -