Waypoint-to-waypoint energy-efficient path planning for multi-copters

Nirmal Kumbhare, Aakarsh Rao, Christopher Gniady, Wolfgang Fink, Jerzy W Rozenblit

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Title of host publication2017 IEEE Aerospace Conference
PublisherIEEE Computer Society
ISBN (Electronic)9781509016136
DOIs
StatePublished - Jun 7 2017
Event2017 IEEE Aerospace Conference, AERO 2017 - Big Sky, United States
Duration: Mar 4 2017Mar 11 2017

Other

Other2017 IEEE Aerospace Conference, AERO 2017
CountryUnited States
CityBig Sky
Period3/4/173/11/17

Fingerprint

trajectory planning
Motion planning
flight
Propulsion
propulsion
energy
electric batteries
electrical property
efferent nervous systems
Propellers
flight time
propellers
mechanical property
Energy conservation
Electric properties
line of sight
Mechanical properties
electrical properties
mechanical properties
simulation

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science

Cite this

Waypoint-to-waypoint energy-efficient path planning for multi-copters. / Kumbhare, Nirmal; Rao, Aakarsh; Gniady, Christopher; Fink, Wolfgang; Rozenblit, Jerzy W.

2017 IEEE Aerospace Conference. IEEE Computer Society, 2017. 7943654.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kumbhare, N, Rao, A, Gniady, C, Fink, W & Rozenblit, JW 2017, Waypoint-to-waypoint energy-efficient path planning for multi-copters. in 2017 IEEE Aerospace Conference., 7943654, IEEE Computer Society, 2017 IEEE Aerospace Conference, AERO 2017, Big Sky, United States, 3/4/17. https://doi.org/10.1109/AERO.2017.7943654
Kumbhare, Nirmal ; Rao, Aakarsh ; Gniady, Christopher ; Fink, Wolfgang ; Rozenblit, Jerzy W. / Waypoint-to-waypoint energy-efficient path planning for multi-copters. 2017 IEEE Aerospace Conference. IEEE Computer Society, 2017.
@inproceedings{14b5e7a444b743ca8100dcc66e7463c5,
title = "Waypoint-to-waypoint energy-efficient path planning for multi-copters",
abstract = "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.",
author = "Nirmal Kumbhare and Aakarsh Rao and Christopher Gniady and Wolfgang Fink and Rozenblit, {Jerzy W}",
year = "2017",
month = "6",
day = "7",
doi = "10.1109/AERO.2017.7943654",
language = "English (US)",
booktitle = "2017 IEEE Aerospace Conference",
publisher = "IEEE Computer Society",

}

TY - GEN

T1 - Waypoint-to-waypoint energy-efficient path planning for multi-copters

AU - Kumbhare, Nirmal

AU - Rao, Aakarsh

AU - Gniady, Christopher

AU - Fink, Wolfgang

AU - Rozenblit, Jerzy W

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

UR - http://www.scopus.com/inward/citedby.url?scp=85021207332&partnerID=8YFLogxK

U2 - 10.1109/AERO.2017.7943654

DO - 10.1109/AERO.2017.7943654

M3 - Conference contribution

AN - SCOPUS:85021207332

BT - 2017 IEEE Aerospace Conference

PB - IEEE Computer Society

ER -