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Batch-triggered identification based adaptive tracking control for fixed-wing UAV
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Shangming DI1, Jiajun SHEN1, Yehui LIU1, Wei WANG1, 2, *
Journal of Beijing University of Aeronautics and Astronautics | 2026, 52(10) : 3667 - 3676
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Journal of Beijing University of Aeronautics and Astronautics | 2026, 52(10): 3667-3676
Batch-triggered identification based adaptive tracking control for fixed-wing UAV
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Shangming DI1, Jiajun SHEN1, Yehui LIU1, Wei WANG1, 2, *
Affiliations
  • 1School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China
  • 2Hangzhou Innovation Institute,Beihang University,Hangzhou 310051,China
Published: 2026-10-31 doi: 10.13700/j.bh.1001-5965.2025.0594
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In this paper, an adaptive hierarchical control method based on a regulation-triggered batch identifier is proposed. This approach addresses the challenges in stability analysis and control design of fixed-wing UAVs, which are complicated by the coupling of underactuated characteristics and parametric uncertainty. In order to deal with the underactuated problem, the original fixed-wing UAV model is transformed into a virtual integrator and linear parameterized model based on the unicycle model. Backstepping is then combined with fixed-time control methods to create an equivalent flight tracking controller. By analyzing the mechanism of parameter uncertainty on the motion state of the UAV, a linear regression equation is constructed by spectral decomposition technology to quantitatively collect excitation information, which ensures the richness of the collected excitation information and the boundedness of the linear regression equation. A regulation-triggered batch identifier is created to update the parameter estimation using the gathered excitation data when the trigger function satisfies specific requirements in order to remove the impact of parametric uncertainty. Compared with the existing hierarchical control strategies for fixed-wing UAVs, the proposed framework achieves the unity of error convergence, excitement richness and parameter identification accuracy.

data-driven control  /  adaptive control  /  fixed-time control  /  fixed-wing UAV  /  underactuated characteristics
邸尚明, 申佳军, 刘烨晖, 王薇. 基于触发式批处理辨识的固定翼无人机自适应跟踪控制. 北京航空航天大学学报, 2026 , 52 (10) : 3667 -3676 . DOI: 10.13700/j.bh.1001-5965.2025.0594
Shangming DI, Jiajun SHEN, Yehui LIU, Wei WANG. Batch-triggered identification based adaptive tracking control for fixed-wing UAV[J]. Journal of Beijing University of Aeronautics and Astronautics, 2026 , 52 (10) : 3667 -3676 . DOI: 10.13700/j.bh.1001-5965.2025.0594
Year 2026 volume 52 Issue 10
24
11
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Article Info
doi: 10.13700/j.bh.1001-5965.2025.0594
  • Receive Date:2025-08-26
  • Online Date:2026-10-30
  • Published:2026-10-31
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  • Received:2025-08-26
  • Accepted:2026-02-24
Affiliations
    1School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China
    2Hangzhou Innovation Institute,Beihang University,Hangzhou 310051,China

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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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