Optimization and Trajectory Tracking of Deep Stall Landing for a Variable Forward-swept Wing UAV

Shuai Shao, Junhui Liu*, Jiayuan Shan, Weijia Zeng, Sidong Liu

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

This paper presents a trajectory optimization and robust trajectory tracking of deep stall landing for a variable forward-swept wing unmanned aerial vehicle (UAV). Firstly, the longitudinal dynamics model of a variable forward-swept wing UAV is established, and the aerodynamic parameters in a wide-range angle of attack (AOA) are obtained using computational fluid dynamics (CFD). Then, considering multiple running and terminal constraints of UAV deep stall landing, Radau pseudo spectrum method is adopted to generate optimal landing trajectory. Furthermore, to cope with the nonlinear and uncertain aerodynamic parameter at high AOA, a robust trajectory tracking controller is designed via combining feedback linearization and extended state observer (ESO). Finally, nonlinear numerical simulation is conducted to verify the proposed method. The simulation results demonstrate that the control accuracy of the designed controller under various disturbances can meet the landing requirements.

Original languageEnglish
Title of host publication2022 5th International Symposium on Autonomous Systems, ISAS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665487085
DOIs
Publication statusPublished - 2022
Event5th International Symposium on Autonomous Systems, ISAS 2022 - Hangzhou, China
Duration: 8 Apr 202210 Apr 2022

Publication series

Name2022 5th International Symposium on Autonomous Systems, ISAS 2022

Conference

Conference5th International Symposium on Autonomous Systems, ISAS 2022
Country/TerritoryChina
CityHangzhou
Period8/04/2210/04/22

Keywords

  • ESO
  • deep stall landing
  • forward-swept wing UAV
  • trajectory optimization
  • trajectory tracking

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