Cooperative guidance of multiple UAVs for target estimation based on nonlinear model predictive control

Lepeng Chen, Rongxin Cui, Jian Gao, Weisheng Yan

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

6 Scopus citations

Abstract

This paper presents a cooperative strategy for the salvo attack of multiple unmanned aerial vehicles (UAVs) based on one-step determinant of Fisher Information Matrix (FIM). The design aims to enhance the estimate accuracy of the target location by maximizing the FIM, which is used to measure the performance of target estimation. Considering the coupled information between each UAV and the nonlinear of kinematical equation, a nonlinear model predictive control (NMPC) is employed to derive the guidance law. To achieve salvo attack, the time-to-go error is added in the cost function of NMPC. The time-to-go estimation is obtained by the approach of Behaviour Prediction Scheme (BPS), which replicates the guidance law of virtual UAVs to simulate the behavior of the real UAVs. Numerical simulations demonstrate that the proposed approach is feasible.

Original languageEnglish
Title of host publicationICARM 2016 - 2016 International Conference on Advanced Robotics and Mechatronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages178-183
Number of pages6
ISBN (Electronic)9781509033645
DOIs
StatePublished - 21 Oct 2016
Event2016 International Conference on Advanced Robotics and Mechatronics, ICARM 2016 - Macau, China
Duration: 18 Aug 201620 Aug 2016

Publication series

NameICARM 2016 - 2016 International Conference on Advanced Robotics and Mechatronics

Conference

Conference2016 International Conference on Advanced Robotics and Mechatronics, ICARM 2016
Country/TerritoryChina
CityMacau
Period18/08/1620/08/16

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