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| 1 | +--- |
| 2 | +layout: papers |
| 3 | +title: "Coverage-Maximizing Solar-Powered Autonomous Surface Vehicle Control for Persistent Gulf Stream Observation" |
| 4 | +date: 2022-06-10 |
| 5 | +image: /images/default-paper.png |
| 6 | +venue: "IEEE ACC 2022" |
| 7 | +authors: |
| 8 | + - kavinmgovindarajan |
| 9 | +code: https://github.com/kmgovind/acc-2022 |
| 10 | +abstract: "The Gulf Stream, which comes within 100 km |
| 11 | +of the United States coastline in both the Florida Straits and |
| 12 | +the vicinity of Cape Hatteras, is estimated to possess over 160 |
| 13 | +TWh/year of technical energy capacity. To better understand |
| 14 | +the behavior of the Gulf Stream, whose flow resource varies |
| 15 | +in both space and time, a relatively sparse network of fixed |
| 16 | +acoustic Doppler current profilers (ADCPs) and shore-mounted |
| 17 | +high-frequency radar units have been supplemented by more |
| 18 | +granular but infrequent boat transect runs and undersea glider |
| 19 | +deployments. Collectively, these measurements provide highly |
| 20 | +granular data with respect to either time or space, but not both. |
| 21 | +This work represents part of a comprehensive effort to evaluate |
| 22 | +use of a solar-powered autonomous surface vehicle (ASV) fleet |
| 23 | +to supplement existing observational capabilities. The proposed |
| 24 | +solar-powered ASV can provide data with high spatial and |
| 25 | +temporal granularity, but comes with the challenge of optimally |
| 26 | +planning its mission in an adaptive manner. To address this |
| 27 | +challenge in this work, we propose a multilevel controller that |
| 28 | +fuses the A* search algorithm with an upper level waypoint |
| 29 | +selector and lower level heading control. Focusing on a critically |
| 30 | +important mission domain adjacent to Cape Hatteras, and |
| 31 | +relying on a Mid-Atlantic Bight, South Atlantic Bight Regional |
| 32 | +Ocean Model (MAB-SAB-ROM), we compare the performance |
| 33 | +of our proposed algorithm against several competing strategies. |
| 34 | +We demonstrate a significant performance improvement in |
| 35 | +terms of a dynamic coverage metric, both in comparison to |
| 36 | +competing strategies and to the existing observational network." |
| 37 | +pdf: /pdfs/2022-coverage-maximizing.pdf |
| 38 | +--- |
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