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Longitudinal Automatic Carrier Landing with Explicit Nonlinear Model Predictive Controller and Improved Pigeon Inspired Optimization

  • Zhibing Zhang
  • , Yang Yuan
  • , Chong Zhen*
  • , Yimin Deng
  • , Ziqiang Li
  • *Corresponding author for this work
  • China Aviation Industry Corporation
  • Nanjing University of Aeronautics and Astronautics
  • Beihang University

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

Abstract

In this paper, explicit model predictive controllers for velocity and altitude are designed for longitudinal control of carrier-borne aircraft, respectively. To obtain the optimal control parameters, the intelligent optimization algorithm is utilized to adjust the controller. An improved pigeon inspired optimization algorithm is proposed to obtain the optimal parameters. The superiority of the proposed method is verified by comparative simulation experiments.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control
EditorsLiang Yan, Haibin Duan, Yimin Deng, Liang Yan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages4116-4124
Number of pages9
ISBN (Print)9789811966125
DOIs
StatePublished - 2023
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2022 - Harbin, China
Duration: 5 Aug 20227 Aug 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume845 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2022
Country/TerritoryChina
CityHarbin
Period5/08/227/08/22

Keywords

  • Carrier landing
  • Explicit nonlinear model predictive control
  • Improved pigeon inspired optimization

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