Optimization-inspired control strategy for a Magnus effect-based airborne wind energy system

Milutinović, Milan and Čorić, Mirko and Deur, Joško (2018) Optimization-inspired control strategy for a Magnus effect-based airborne wind energy system. = Optimization-inspired control strategy for a Magnus effect-based airborne wind energy system. In: Airborne wind energy - advances in technology development and research. Springer, Singapur, pp. 303-333. ISBN 978-981-10-1946-3

Full text not available from this repository.
Official URL: https://link.springer.com/chapter/10.1007/978-981-...

Abstract

An optimization study has been conducted and the corresponding control strategy developed for the lighter-than-air airborne wind energy system. The linchpin of the system is an airborne module in the form of a buoyant, rotating cylinder, whose rotation in a wind stream induces the Magnus effect-based aerodynamic lift, thereby facilitating traction power generation. The optimization is aimed at maximizing the average power produced at the ground-based generator during a continuously repeatable operating cycle. This chapter provides a recap of the optimization methodology, results, and their physical interpretation, and builds on this foundation to develop control strategies aimed at approaching the optimization results. Comparative analysis of the two proposed control strategies and the optimization results shows that the simpler and more robust strategy can approach the performance of the more sensitive strategy that closely matches the optimization results.

Item Type: Book Section
Keywords (Croatian): airborne wind; Magnus rotor; system optimization; control strategy; optimization methodology
Subjects: TECHNICAL SCIENCE > Mechanical Engineering
Divisions: 900 Department of Robotics and Production System Automation > 910 Chair of Engineering Automation
Indexed in Web of Science: No
Indexed in Current Contents: No
Date Deposited: 10 Sep 2018 10:57
Last Modified: 10 Sep 2018 10:57
URI: http://repozitorij.fsb.hr/id/eprint/8693

Actions (login required)

View Item View Item