Pareto Optimal and Dual-Objective Geometric and Structural Design of an Underwater Kite for Closed-Loop Flight PerformanceSource: Journal of Dynamic Systems, Measurement, and Control:;2022:;volume( 145 ):;issue: 001::page 11005-1Author:Naik, Kartik
,
Beknalkar, Sumedh
,
Reed, James
,
Mazzoleni, Andre
,
Fathy, Hosam
,
Vermillion, Chris
DOI: 10.1115/1.4055978Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents the formulation and results for a control-aware optimization of the combined geometric and structural design of an energy-harvesting underwater kite. Because kite-based energy-harvesting systems, both airborne and underwater, possess strong coupling between closed-loop flight control, geometric design, and structural design, consideration of all three facets of the design within a single codesign framework is highly desirable. However, while prior literature has addressed one or two attributes of the design at a time, this work constitutes the first comprehensive effort aimed at addressing all three. In particular, focusing on the goals of power maximization and mass minimization, we present a codesign formulation that fuses a geometric optimization tool, structural optimization tool, and closed-loop flight efficiency map. The resulting integrated codesign tool is used to address two mathematical optimization formulations that exhibit subtle differences: a Pareto optimal formulation and a dual-objective formulation that focuses on a weighted power-to-mass ratio as the techno-economic metric of merit. Based on the resulting geometric and structural designs, using a mediumfidelity closed-loop simulation tool, the proposed formulation is shown to achieve more than three times the powerto-mass ratio of a previously published, unoptimized benchmark design.
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contributor author | Naik, Kartik | |
contributor author | Beknalkar, Sumedh | |
contributor author | Reed, James | |
contributor author | Mazzoleni, Andre | |
contributor author | Fathy, Hosam | |
contributor author | Vermillion, Chris | |
date accessioned | 2023-08-16T18:13:57Z | |
date available | 2023-08-16T18:13:57Z | |
date copyright | 11/1/2022 12:00:00 AM | |
date issued | 2022 | |
identifier issn | 0022-0434 | |
identifier other | ds_145_01_011005.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4291671 | |
description abstract | This paper presents the formulation and results for a control-aware optimization of the combined geometric and structural design of an energy-harvesting underwater kite. Because kite-based energy-harvesting systems, both airborne and underwater, possess strong coupling between closed-loop flight control, geometric design, and structural design, consideration of all three facets of the design within a single codesign framework is highly desirable. However, while prior literature has addressed one or two attributes of the design at a time, this work constitutes the first comprehensive effort aimed at addressing all three. In particular, focusing on the goals of power maximization and mass minimization, we present a codesign formulation that fuses a geometric optimization tool, structural optimization tool, and closed-loop flight efficiency map. The resulting integrated codesign tool is used to address two mathematical optimization formulations that exhibit subtle differences: a Pareto optimal formulation and a dual-objective formulation that focuses on a weighted power-to-mass ratio as the techno-economic metric of merit. Based on the resulting geometric and structural designs, using a mediumfidelity closed-loop simulation tool, the proposed formulation is shown to achieve more than three times the powerto-mass ratio of a previously published, unoptimized benchmark design. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Pareto Optimal and Dual-Objective Geometric and Structural Design of an Underwater Kite for Closed-Loop Flight Performance | |
type | Journal Paper | |
journal volume | 145 | |
journal issue | 1 | |
journal title | Journal of Dynamic Systems, Measurement, and Control | |
identifier doi | 10.1115/1.4055978 | |
journal fristpage | 11005-1 | |
journal lastpage | 11005-12 | |
page | 12 | |
tree | Journal of Dynamic Systems, Measurement, and Control:;2022:;volume( 145 ):;issue: 001 | |
contenttype | Fulltext |