Tilt-Rotor Vertical Takeoff and Landing UAV Oblique Takeoff Trajectory Optimization

In this paper, for the tilt-rotor vertical takeoff and landing vehicle takeoff multi-constraint trajectory optimization problem, the optimal takeoff trajectory optimization design based on the Gauss pseudo-spectral method is carried out, and the optimal takeoff trajectory of energy consumption and time is derived. The optimal control problem model of the tilted takeoff optimal trajectory optimization problem is established, discretized by Gauss pseudo-spectral method, and transformed into a nonlinear planning problem for solving. The mathematical simulation results show that the optimization result meets the constraints, reaches the target landing point with zero speed, and meets the optimization objective of optimal fuel consumption.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/irac63143.2024.10871517
Primary Topic
Aerospace Engineering and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Tilt-Rotor Vertical Takeoff and Landing UAV Oblique Takeoff Trajectory Optimization

Song Zhang, Juhong Liu
Aerospace Engineering and Control Systems
article

Tilt-Rotor Vertical Takeoff and Landing UAV Oblique Takeoff Trajectory Optimization

Song Zhang, Juhong Liu
article en

Abstract

In this paper, for the tilt-rotor vertical takeoff and landing vehicle takeoff multi-constraint trajectory optimization problem, the optimal takeoff trajectory optimization design based on the Gauss pseudo-spectral method is carried out, and the optimal takeoff trajectory of energy consumption and time is derived. The optimal control problem model of the tilted takeoff optimal trajectory optimization problem is established, discretized by Gauss pseudo-spectral method, and transformed into a nonlinear planning problem for solving. The mathematical simulation results show that the optimization result meets the constraints, reaches the target landing point with zero speed, and meets the optimization objective of optimal fuel consumption.

Civil Aviation University of China (CN)
Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 55%
Aerospace Engineering and Control Systems
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