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Analysis of Stability Margin of Dynamic Inverse Control Law for Flying Wing UAV
Author(s) -
Yalong Wang,
Shenjun Qi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1924/1/012005
Subject(s) - control theory (sociology) , decoupling (probability) , stability derivatives , margin (machine learning) , wing , stability (learning theory) , control system , electronic stability control , engineering , longitudinal static stability , excitation , computer science , control engineering , control (management) , aerodynamics , aerospace engineering , artificial intelligence , machine learning , electrical engineering
The longitudinal and directional stability of flying wing UAV is poor, the coupling of triaxial force and torque is serious, and the control surface is special, so the flight control is difficult and the control law is complex. Taking a flying wing UAV as an example, the control laws of track tracking based on dynamic inverse control method and control allocation are designed. The applicability of traditional stability margin excitation method based on signal generator and pilot’s manual control is analyzed, and a stability margin excitation method based on three-a2xis control decoupling is proposed, which is verified by simulation. The results show that the stability margin of the designed three-axis dynamic inverse control law system meets the requirements, and the stability margin excitation method based on three-axis decoupling is suitable for the stability margin analysis of three-axis coupled UAV.

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