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

被引：0
|
作者：
Tian, Qiuyang [1 ]
Chen, Weiwen [1 ]
Wang, Zelin [1 ]
Sun, Mingxuan [3 ]
Zhu, Bo [1 ]
Jia, Laibing [4 ]
Hu, Tianjiang [1 ,2 ]
机构：
[1] Sun Yat Sen Univ, Sch Aeronaut & Astronaut, Shenzhen 518107, Peoples R China
[2] Sun Yat Sen Univ, Sch Artificial Intelligence, Zhuhai 519000, Peoples R China
[3] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Peoples R China
[4] Univ Strathclyde, Dept Naval Architecture Ocean & Marine Engn, Glasgow, Lanark, Scotland
来源：
2024 3RD CONFERENCE ON FULLY ACTUATED SYSTEM THEORY AND APPLICATIONS, FASTA 2024 | 2024年
基金：
中国国家自然科学基金;
关键词：
Data-driven control; characteristic model; attracting laws (ALs); FIXED-WING AIRCRAFT; ATTITUDE; SYSTEM;
D O I：
10.1109/FASTA61401.2024.10595378
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1493 / 1497
页数：5
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