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Fixed-Time Disturbance Rejection Attitude Control for a Dual-System Hybrid UAV

  • Wenyu Chen
  • , Lulu Chen
  • , Zhenbao Liu
  • , Qingqing Dang
  • , Wen Zhao
  • , Tao Zhang
  • , Chao Ma
  • Air Force Engineering University Xian
  • Northwestern Polytechnical University Xian

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The hybrid unmanned aerial vehicle combines the vertical take-off and landing and hover abilities of rotary-wing UAVs with the high-speed cruise and long-endurance capabilities of fixed-wing UAVs, expanding the flight envelope and application areas. The designed controller must handle the highly nonlinear dynamics and variable actuators resulting from this combination. Furthermore, the performance of the controller is also influenced by uncertainties in model parameters and external disturbances. To address these issues, a unified robust disturbance rejection control based on fixed-time stability theory is proposed for attitude control. A fixed-time disturbance observer is utilized to estimate composite disturbances without some strict assumptions. Based on this observer, a nonsingular chattering-free fixed-time integral sliding mode control law is introduced to ensure that tracking errors converge to the origin within a fixed time. In addition, an optimized control allocator based on the weighted least squares method is designed to handle the overactuation of a dual-system hybrid UAV. Finally, numerical simulations and hardware-in-the-loop experiments under different flight modes and disturbance conditions are carried out, and compared with nonlinear dynamic inverse and the nonsingular terminal sliding mode control based on a finite-time observer, the developed controller enhances attitude angle tracking accuracy and disturbance rejection performance.

Original languageEnglish
Article number232
JournalDrones
Volume9
Issue number4
DOIs
StatePublished - Apr 2025

Keywords

  • control allocation
  • disturbance observer
  • fixed-time control
  • hybrid UAV

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