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contributor authorCobb, Mitchell
contributor authorDeodhar, Nihar
contributor authorVermillion, Christopher
date accessioned2019-02-28T11:12:50Z
date available2019-02-28T11:12:50Z
date copyright1/16/2018 12:00:00 AM
date issued2018
identifier issn0022-0434
identifier otherds_140_07_071005.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4253899
description abstractThis paper presents the experimental validation and dynamic similarity analysis for a lab-scale version of an airborne wind energy (AWE) system executing closed-loop motion control. Execution of crosswind flight patterns, achieved in this work through the asymmetric motion of three tethers, enables dramatic increases in energy generation compared with stationary operation. Achievement of crosswind flight in the lab-scale experimental framework described herein allows for rapid, inexpensive, and dynamically scalable characterization of new control algorithms without recourse to expensive full-scale prototyping. We first present the experimental setup, then derive dynamic scaling relationships necessary for the lab-scale behavior to match the full-scale behavior. We then validate dynamic equivalence of crosswind flight over a range of different scale models of the Altaeros Buoyant airborne turbine (BAT). This work is the first example of successful lab-scale control and measurement of crosswind motion for an AWE system across a range of flow speeds and system scales. The results demonstrate that crosswind flight can achieve significantly more power production than stationary operation, while also validating dynamic scaling laws under closed-loop control.
publisherThe American Society of Mechanical Engineers (ASME)
titleLab-Scale Experimental Characterization and Dynamic Scaling Assessment for Closed-Loop Crosswind Flight of Airborne Wind Energy Systems
typeJournal Paper
journal volume140
journal issue7
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4038650
journal fristpage71005
journal lastpage071005-12
treeJournal of Dynamic Systems, Measurement, and Control:;2018:;volume( 140 ):;issue: 007
contenttypeFulltext


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