Paper
1 August 2022 Longitudinal extreme maneuver simulation of UAV with advanced high maneuverability and static instability based on L1 adaptive control
Faqiang Xu, Zheng Gong, Yalei Bai, Chongmin She
Author Affiliations +
Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 1225738 (2022) https://doi.org/10.1117/12.2639566
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China
Abstract
In the stage of rapid design of the aircraft, the flight load has an essential influence. According to the flight parameters required for flight load analysis, a nonlinear flight dynamics model is established in this paper. The longitudinal extreme maneuver action is designed and optimized based on the national military standard. The pitch angle rate controller is designed based on the L1 adaptive control method to ensure the stability of the aircraft. After the flight dynamics model is combined with the extreme maneuvers, the control law is embedded for simulation. The results show that the UAV can complete the extreme maneuver simulation under L1 adaptive control, and the overload can meet the expected target. The correlation between the control system and the extreme maneuver simulation is small when the control parameters are within the appropriate range.
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Faqiang Xu, Zheng Gong, Yalei Bai, and Chongmin She "Longitudinal extreme maneuver simulation of UAV with advanced high maneuverability and static instability based on L1 adaptive control", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 1225738 (1 August 2022); https://doi.org/10.1117/12.2639566
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KEYWORDS
Unmanned aerial vehicles

Adaptive control

Control systems

Monte Carlo methods

Device simulation

Data modeling

3D modeling

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