TRAJECTORY OPTIMIZATION OF A SMALL AIRSHIP IN A MOVING FLUID

Author:

Blouin Charles1,Lanteigne Eric1,Gueaieb Wail2

Affiliation:

1. Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, Canada

2. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

Abstract

Airships offer a low-cost alternative to heavier-than-air vehicles for long endurance applications in surveillance and transport. Although manoeuvring an under-actuated vehicle in a real environment while taking into account the obstacles, the dynamical model, the wind, and the energy consumption has been studied extensively, planning complex manoeuvres in constrained environments remains an active research area. This paper examines the use of optimal control for the trajectory planning of a small airship. The dynamic model of the vehicle and the experimental characterization of the drag coefficient are presented first, followed by the description of the trajectory planning problem formulated as an optimal control problem. Two trajectories are then solved using a pseudo-spectral solver to demonstrate that an optimal control approach can be used to generate complex and realistic manoeuvres.

Publisher

Canadian Science Publishing

Subject

Mechanical Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Stratospheric airship trajectory planning in wind field using deep reinforcement learning;Advances in Space Research;2024-09

2. Receding Horizon Trajectory Generation of Stratospheric Airship in Low-Altitude Return Phase;Aerospace;2022-10-29

3. Modeling and Identification of Coupled Translational and Rotational Motion of Underactuated Indoor Miniature Autonomous Blimps;2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV);2020-12-13

4. Trajectory optimization and control of stratospheric airship in cruising;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2019-03-07

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