ICUAS 2021 Paper Abstract

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Paper ThB3.1

Alijani, Morteza (Università di Trento), Osman, Anas (Università di Trento)

Minimum-Time Path Planning for Autonomous Landing of UAV on Aerial Drone Carrier

Scheduled for presentation during the Regular Session "Path Planning IV" (ThB3), Thursday, June 17, 2021, 14:00−14:20, Edessa

2021 International Conference on Unmanned Aircraft Systems (ICUAS), June 15-18, 2021, Athens, Greece

This information is tentative and subject to change. Compiled on March 28, 2024

Keywords Path Planning, Airspace Control, Control Architectures

Abstract

The motivation for this work stems from the need to develop trajectory planning algorithms for small UAVs with limited resources. The goal is to address one of the most critical problems in UAV design, namely weight constraints. Therefore, in order to reduce the weight, small batteries are used which affect the flight duration and overall performance. To increase the operating time during a mission, frequent recharging is typically required. To solve this problem, an autonomous air-to-air take-off and landing on a drone carrier for recharging is proposed. The main objective of this study is to calculate the minimum time and thus the shortest maneuver route between the UAV and the drone carrier. To achieve this goal, the path planning algorithm is utilized through the closed-loop direct optimal control approach to calculate the optimal time, which is defined as a cost function. In addition to the optimization techniques, the singular perturbation technique (SPT) and the Hamiltonian are used to solve and refine the optimal control problem (OCP). Finally, the numerical simulation results in both open and closed loop are presented and the performance of the proposed algorithm is evaluated.

 

 

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