Pareto Optimal and Dual-Objective Geometric and Structural Design of an Underwater Kite for Closed-Loop Flight Performance

Author:

Naik Kartik1,Beknalkar Sumedh1,Reed James1,Mazzoleni Andre1,Fathy Hosam2,Vermillion Chris1

Affiliation:

1. Department of Mechanical and Aerospace Engineering, North Carolina State University , Raleigh, NC 27606

2. Department of Mechanical Engineering, University of Maryland , Raleigh, NC 27606

Abstract

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.

Funder

National Science Foundation

U.S. Department of Energy

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Reference33 articles.

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4. A Nonlinear Computational Model of Tethered Underwater Kites for Power Generation;ASME J. Fluids Eng.,2016

5. Optimal Exploration and Charging for An Autonomous Underwater Vehicle with Energy Harvesting Kite,2020

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