Chaotic biogeography-based optimization approach to receding horizon control for multiple UAVs formation flight

Weiren Zhu; Haibin Duan

doi:10.1016/j.ifacol.2015.06.460

Chaotic biogeography-based optimization approach to receding horizon control for multiple UAVs formation flight

Weiren Zhu
, Haibin Duan

自动化科学与电气工程学院

Beihang University

科研成果: 期刊稿件 › 会议文章 › 同行评审

7 引用（Scopus）

摘要

In this paper, we proposed a Receding Horizon Control (RHC) scheme which converts multiple Unmanned Aerial Vehicle (UAVs) formation flight problem to a sequence of online optimization problems over a planning horizon. A novel Chaotic Biogeography-Based Optimization (CBBO) approach is presented to find the optimal control inputs for the follower UAVs to maintain coordinated flight with the minimum input cost in each of the planning horizons. Series of simulation results verified the feasibility and effectiveness of our presented approach.

源语言	英语
页（从-至）	35-40
页数	6
期刊	IFAC-PapersOnLine
卷	28
期	5
DOI	https://doi.org/10.1016/j.ifacol.2015.06.460
出版状态	已出版 - 1 5月 2015
活动	3rd IFAC Workshop on Multivehicle Systems, MVS 2015 - Genova, 意大利期限: 18 5月 2015 → …

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title = "Chaotic biogeography-based optimization approach to receding horizon control for multiple UAVs formation flight",

abstract = "In this paper, we proposed a Receding Horizon Control (RHC) scheme which converts multiple Unmanned Aerial Vehicle (UAVs) formation flight problem to a sequence of online optimization problems over a planning horizon. A novel Chaotic Biogeography-Based Optimization (CBBO) approach is presented to find the optimal control inputs for the follower UAVs to maintain coordinated flight with the minimum input cost in each of the planning horizons. Series of simulation results verified the feasibility and effectiveness of our presented approach.",

keywords = "Biogeography-Based Optimization (BBO), Formation Flight, Unmanned Aerial Vehicles (UAVs)",

author = "Weiren Zhu and Haibin Duan",

note = "Publisher Copyright: {\textcopyright} 2015, IFAC. Hosting by Elsevier Ltd.; 3rd IFAC Workshop on Multivehicle Systems, MVS 2015 ; Conference date: 18-05-2015",

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AU - Zhu, Weiren

AU - Duan, Haibin

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N2 - In this paper, we proposed a Receding Horizon Control (RHC) scheme which converts multiple Unmanned Aerial Vehicle (UAVs) formation flight problem to a sequence of online optimization problems over a planning horizon. A novel Chaotic Biogeography-Based Optimization (CBBO) approach is presented to find the optimal control inputs for the follower UAVs to maintain coordinated flight with the minimum input cost in each of the planning horizons. Series of simulation results verified the feasibility and effectiveness of our presented approach.

AB - In this paper, we proposed a Receding Horizon Control (RHC) scheme which converts multiple Unmanned Aerial Vehicle (UAVs) formation flight problem to a sequence of online optimization problems over a planning horizon. A novel Chaotic Biogeography-Based Optimization (CBBO) approach is presented to find the optimal control inputs for the follower UAVs to maintain coordinated flight with the minimum input cost in each of the planning horizons. Series of simulation results verified the feasibility and effectiveness of our presented approach.

KW - Biogeography-Based Optimization (BBO)

KW - Formation Flight

KW - Unmanned Aerial Vehicles (UAVs)

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T2 - 3rd IFAC Workshop on Multivehicle Systems, MVS 2015

Y2 - 18 May 2015

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Chaotic biogeography-based optimization approach to receding horizon control for multiple UAVs formation flight

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