Data-driven control design for UAV autolanding: a pitch-only case study

Qiuyang Tian, Weiwen Chen, Zelin Wang, Mingxuan Sun, Bo Zhu, Laibing Jia, Tianjiang Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

This paper aims at exploring a new-type mode for autolanding control of fixed-wing unmanned aerial vehicles (UAVs). A discrete-time data-driven control scheme is tentatively proposed and developed with its pitch-only channel as a case study. Eventually, data-driven controllers inspired by attracting laws are introduced for a series of difference models. Numerical simulation for pitch-only dynamics is demonstrated to validate and compare performances of proposed DDC laws. Simulation results indicate that DDC laws can achieve the desired performance by altering data-driven models with different orders.
Original languageEnglish
Title of host publication2024 3rd Conference on Fully Actuated System Theory and Applications (FASTA)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1493-1497
Number of pages5
ISBN (Electronic)9798350373691
ISBN (Print)9798350373707
DOIs
Publication statusPublished - 23 Jul 2024
EventThe 3rd Conference on Fully Actuated System Theory and Applications - Shenzhen, China
Duration: 10 May 202412 May 2024
http://fasta2024-en.fasta.org.cn/

Conference

ConferenceThe 3rd Conference on Fully Actuated System Theory and Applications
Abbreviated titleFASTA2024)
Country/TerritoryChina
Period10/05/2412/05/24
Internet address

Keywords

  • data-driven control
  • characteristic model
  • attracting laws (ALs)

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