Fractional Order Darwinian Pigeon-Inspired Optimization for Multi-UAV Swarm Controller

Bingda Tong; Chen Wei; Yuhui Shi

doi:10.1142/S2737480722500108

Fractional Order Darwinian Pigeon-Inspired Optimization for Multi-UAV Swarm Controller

Bingda Tong
, Chen Wei^*
, Yuhui Shi

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University
Southern University of Science and Technology

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

This paper presents a novel multiple unmanned aerial vehicle (UAV) swarm controller based on the fractional calculus theory. This controller is designed based on fractional order Darwinian pigeon-inspired optimization (FODPIO) and PID algorithm. Several comparative simulations are conducted in the paper. The simulation results reveal that FODPIObased multi-UAV formation controller is superior to the basic PIO and differential evolution (DE) method. The fractional coeffcient in FODPIO algorithm makes it effective optimization with fast convergence rate, small overshoot, and better stability. Therefore, the controller proposed in this paper is feasible and robust.

Original language	English
Article number	2250010
Journal	Guidance, Navigation and Control
Volume	2
Issue number	2
DOIs	https://doi.org/10.1142/S2737480722500108
State	Published - 1 Jun 2022

Keywords

Pigeon-inspired optimization (PIO)
formation control
fractional order Darwinian pigeon-inspired optimization (FODPIO)
unmanned aerial vehicle (UAV)

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10.1142/S2737480722500108

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title = "Fractional Order Darwinian Pigeon-Inspired Optimization for Multi-UAV Swarm Controller",

abstract = "This paper presents a novel multiple unmanned aerial vehicle (UAV) swarm controller based on the fractional calculus theory. This controller is designed based on fractional order Darwinian pigeon-inspired optimization (FODPIO) and PID algorithm. Several comparative simulations are conducted in the paper. The simulation results reveal that FODPIObased multi-UAV formation controller is superior to the basic PIO and differential evolution (DE) method. The fractional coeffcient in FODPIO algorithm makes it effective optimization with fast convergence rate, small overshoot, and better stability. Therefore, the controller proposed in this paper is feasible and robust.",

keywords = "Pigeon-inspired optimization (PIO), formation control, fractional order Darwinian pigeon-inspired optimization (FODPIO), unmanned aerial vehicle (UAV)",

author = "Bingda Tong and Chen Wei and Yuhui Shi",

note = "Publisher Copyright: {\textcopyright} 2022 Technical Committee on Guidance, Navigation and Control, CSAA.",

year = "2022",

month = jun,

day = "1",

doi = "10.1142/S2737480722500108",

language = "英语",

volume = "2",

journal = "Guidance, Navigation and Control",

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T1 - Fractional Order Darwinian Pigeon-Inspired Optimization for Multi-UAV Swarm Controller

AU - Tong, Bingda

AU - Wei, Chen

AU - Shi, Yuhui

PY - 2022/6/1

Y1 - 2022/6/1

N2 - This paper presents a novel multiple unmanned aerial vehicle (UAV) swarm controller based on the fractional calculus theory. This controller is designed based on fractional order Darwinian pigeon-inspired optimization (FODPIO) and PID algorithm. Several comparative simulations are conducted in the paper. The simulation results reveal that FODPIObased multi-UAV formation controller is superior to the basic PIO and differential evolution (DE) method. The fractional coeffcient in FODPIO algorithm makes it effective optimization with fast convergence rate, small overshoot, and better stability. Therefore, the controller proposed in this paper is feasible and robust.

AB - This paper presents a novel multiple unmanned aerial vehicle (UAV) swarm controller based on the fractional calculus theory. This controller is designed based on fractional order Darwinian pigeon-inspired optimization (FODPIO) and PID algorithm. Several comparative simulations are conducted in the paper. The simulation results reveal that FODPIObased multi-UAV formation controller is superior to the basic PIO and differential evolution (DE) method. The fractional coeffcient in FODPIO algorithm makes it effective optimization with fast convergence rate, small overshoot, and better stability. Therefore, the controller proposed in this paper is feasible and robust.

KW - Pigeon-inspired optimization (PIO)

KW - formation control

KW - fractional order Darwinian pigeon-inspired optimization (FODPIO)

KW - unmanned aerial vehicle (UAV)

UR - https://www.scopus.com/pages/publications/85143387781

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DO - 10.1142/S2737480722500108

M3 - 文章

AN - SCOPUS:85143387781

SN - 2737-4807

VL - 2

JO - Guidance, Navigation and Control

JF - Guidance, Navigation and Control

IS - 2

M1 - 2250010

ER -

Fractional Order Darwinian Pigeon-Inspired Optimization for Multi-UAV Swarm Controller

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