Paper
26 September 2023 Guidance and control method for autonomous obstacle avoidance soft landing of multi-vector engine aircraft
Zhenyang Li, Xuesen Wu, Haihong Fang, Qiang Li, Yuemin Yao
Author Affiliations +
Proceedings Volume 12793, International Conference on Mechatronics and Intelligent Control (ICMIC 2023); 127930N (2023) https://doi.org/10.1117/12.3006432
Event: International Conference on Mechatronics and Intelligent Control (ICMIC2023), 2023, Wuhan, China
Abstract
In order to solve the landing risk problem caused by unknown obstacles in the landing area of multi-vector engine aircraft, an autonomous obstacle avoidance soft landing guidance and control method is designed, which mainly includes active disturbance rejection control algorithm, A-star autonomous obstacle avoidance guidance algorithm and variable thrust engine explicit guidance and control algorithm. Theoretical derivation and simulation results show that the autonomous obstacle avoidance soft landing guidance and control method designed in this paper can ensure that the multi-vector engine aircraft can automatically plan the route to achieve obstacle-avoidance and soft-land to the safe area, meeting the safety requirements of aircraft landing.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhenyang Li, Xuesen Wu, Haihong Fang, Qiang Li, and Yuemin Yao "Guidance and control method for autonomous obstacle avoidance soft landing of multi-vector engine aircraft", Proc. SPIE 12793, International Conference on Mechatronics and Intelligent Control (ICMIC 2023), 127930N (26 September 2023); https://doi.org/10.1117/12.3006432
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KEYWORDS
Monte Carlo methods

Computer simulations

Control systems

Nozzles

Mathematical optimization

Motion models

Navigation systems

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