Generation of Cooperative Paths with Equal Length Using Filter Particle Swarm Optimization

Jian Zhou, Dawei Liu, Jing Sun, Zhu Wang, Teng Long

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To achieve simultaneous arrival of multiple unmanned aerial vehicles (UAVs), a filter particle swarm optimization (PSO) based cooperative path planning method is proposed. Under the assumption that the UAVs share the same speed, generation of cooperative paths with equal length is formulated as a constrained optimization problem. Then, the filter PSO method which can avoid using penalty functions is introduced to search for the cooperative paths. Numerical simulations demonstrate that filter PSO is comparable with penalty PSO in terms of optimality but is more robust than the penalty method in finding feasible paths.

Original languageEnglish
Title of host publication2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538611715
DOIs
Publication statusPublished - Aug 2018
Event2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018 - Xiamen, China
Duration: 10 Aug 201812 Aug 2018

Publication series

Name2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018

Conference

Conference2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
Country/TerritoryChina
CityXiamen
Period10/08/1812/08/18

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