Increasing persistence of UAVs and MAVs through thermal soaring

Author:

Cowling I. D.,Willcox S.,Patel Y.,Smith P.,Roberts M.

Abstract

Abstract This work looks to harness atmospheric energy through thermal soaring to optimise the flight persistence of Micro Air Vehicles (MAVs) and Unmanned Air Vehicles (UAVs). There are two key challenges when considering thermal soaring, the first being the locating of thermals and the second being the extraction of the maximum potential energy from the thermals. Thermal location is by no means an exact science with experienced glider pilots needing to consider many factors to improve the probability of encountering a thermal. As thermals are caused by the uneven heating of the Earth’s surface it is, however, possible to predict likely thermal locations. With the application of a suitable guidance algorithm which considers these ‘hot spots’ it is possible to increase the likelihood of encountering a thermal. Once a thermal is found it is important to attempt to extract the maximum energy from the thermal. To do this the vehicle needs to move quickly to the centre of the thermal. There are many potential techniques for thermal centring, some of which appear to be entirely contradictory to each other, the crucial factor determining the success of such a technique has been found to be the response time of the onboard sensors. This paper considers the many aspects of thermal soaring such as locating thermals, thermal detection and thermal centring. Five different thermal models are presented which are used to demonstrate the thermal centring techniques. Finally a commercial glider simulation package is used to demonstrate the control architecture and simulate a fully autonomous flight.

Publisher

Cambridge University Press (CUP)

Subject

Aerospace Engineering

Reference10 articles.

Cited by 5 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. The AutoSOAR autonomous soaring aircraft, part 1: Autonomy algorithms;Journal of Field Robotics;2018-03-07

2. Flight in nature I: Take-off in animal flyers;The Aeronautical Journal;2015-03

3. Trajectory generation for autonomous soaring UAS;International Journal of Automation and Computing;2012-06

4. A feasibility study of micro air vehicles soaring tall buildings;Journal of Wind Engineering and Industrial Aerodynamics;2012-04

5. Positioning Algorithm for Autonomous Thermal Soaring;Journal of Aircraft;2012-03

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