Aggressive formation tracking for multiple quadrotors without velocity measurements over directed topologies
This paper addresses the aggressive formation tracking problem of quadrotors without velocity measurements over directed interaction topologies. A distributed formation control scheme is proposed for a multiple quadrotors system, which includes an outer-loop position controller to achieve the desire...
Saved in:
Main Authors: | , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/170689 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-170689 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1706892023-09-26T02:05:51Z Aggressive formation tracking for multiple quadrotors without velocity measurements over directed topologies Lin, Jie Miao, Zhiqiang Wang, Yaonan Hu, Guoqiang Fierro, Rafael School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Formation Tracking Geometric Control This paper addresses the aggressive formation tracking problem of quadrotors without velocity measurements over directed interaction topologies. A distributed formation control scheme is proposed for a multiple quadrotors system, which includes an outer-loop position controller to achieve the desired formation and an inner-loop attitude controller to regulate the attitudes. First, a second-order auxiliary system is designed to overcome the unmeasurable linear velocity. Next, the posotion controller is presented using only the position information under the directed topologies. Then, the geometric attitude controller is developed to carry out aggressive rotation maneuvers. Furthermore, an auxiliary system based on Lie algebra is proposed to eliminate the unreliable angular velocity feedback caused by disturbances and bias perturbations. Using Lyapunov stability theory on a cascaded system, it is rigorously proven that the proposed formation controller is asymptotically stable. Finally, the applicability and performance of the proposed control scheme are demonstrated by the numerical simulations. This work was supported in part by the National Key Research and Development Program of China (No. 2022YFB3903800), the National Natural Science Foundation of China under Grant 62273138, the Postgraduate Scientific Research Innovation Project of Hunan Province under Grant QL20210080, the Hunan Provincial Natural Science Foundation of China under Grants 2021JJ20029, the Science and Technology Innovation Program of Hunan Province under Grant 2021RC3060, and also in part by the Youth Talent Support Project of the Chinese Association for Science and Technology. 2023-09-26T02:05:51Z 2023-09-26T02:05:51Z 2023 Journal Article Lin, J., Miao, Z., Wang, Y., Hu, G. & Fierro, R. (2023). Aggressive formation tracking for multiple quadrotors without velocity measurements over directed topologies. IEEE Transactions On Aerospace and Electronic Systems, 1-12. https://dx.doi.org/10.1109/TAES.2023.3260181 0018-9251 https://hdl.handle.net/10356/170689 10.1109/TAES.2023.3260181 2-s2.0-85151515095 1 12 en IEEE Transactions on Aerospace and Electronic Systems © 2023 IEEE. All rights reserved. |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Electrical and electronic engineering Formation Tracking Geometric Control |
spellingShingle |
Engineering::Electrical and electronic engineering Formation Tracking Geometric Control Lin, Jie Miao, Zhiqiang Wang, Yaonan Hu, Guoqiang Fierro, Rafael Aggressive formation tracking for multiple quadrotors without velocity measurements over directed topologies |
description |
This paper addresses the aggressive formation tracking problem of quadrotors without velocity measurements over directed interaction topologies. A distributed formation control scheme is proposed for a multiple quadrotors system, which includes an outer-loop position controller to achieve the desired formation and an inner-loop attitude controller to regulate the attitudes. First, a second-order auxiliary system is designed to overcome the unmeasurable linear velocity. Next, the posotion controller is presented using only the position information under the directed topologies. Then, the geometric attitude controller is developed to carry out aggressive rotation maneuvers. Furthermore, an auxiliary system based on Lie algebra is proposed to eliminate the unreliable angular velocity feedback caused by disturbances and bias perturbations. Using Lyapunov stability theory on a cascaded system, it is rigorously proven that the proposed formation controller is asymptotically stable. Finally, the applicability and performance of the proposed control scheme are demonstrated by the numerical simulations. |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Lin, Jie Miao, Zhiqiang Wang, Yaonan Hu, Guoqiang Fierro, Rafael |
format |
Article |
author |
Lin, Jie Miao, Zhiqiang Wang, Yaonan Hu, Guoqiang Fierro, Rafael |
author_sort |
Lin, Jie |
title |
Aggressive formation tracking for multiple quadrotors without velocity measurements over directed topologies |
title_short |
Aggressive formation tracking for multiple quadrotors without velocity measurements over directed topologies |
title_full |
Aggressive formation tracking for multiple quadrotors without velocity measurements over directed topologies |
title_fullStr |
Aggressive formation tracking for multiple quadrotors without velocity measurements over directed topologies |
title_full_unstemmed |
Aggressive formation tracking for multiple quadrotors without velocity measurements over directed topologies |
title_sort |
aggressive formation tracking for multiple quadrotors without velocity measurements over directed topologies |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/170689 |
_version_ |
1779156341914337280 |