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Optimal kite control in spatiotemporally varying flow fields - ACC 2021

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Two papers submitted (and accepted) to the 2021 American Control Conference (ACC), both focused on different attributes of kite control in variable flow environments. Siddiqui et. al. focuses on tether elevation angle control in a spatiotemporally varying environment, and Reed et. al. focuses on spooling control in such an environment. The abstracts of each accepted paper are included below:

Siddiqui - Gaussian Process-Based Receding Horizon Adaptive Control.pdf
This work focuses on the development of an adaptive control strategy that fuses Gaussian process modeling and receding horizon control to ideally manage the tradeoff between exploration (i.e., maintaining an adequate map of the resource) and exploitation (i.e., carrying out a mission, which consists in this work of harvesting the resource). The use of a receding horizon formulation aids in the consideration of limited mobility, which is characteristic of dynamical systems. In this work, we focus on an airborne wind energy (AWE) system as a case study, where the system can vary its elevation angle (tether angle relative to the ground, which trades off higher efficiency with higher-altitude operation) and flight path parameters in order to maximize power output in a wind environment that is changing in space and time. We demonstrate the effectiveness of the proposed approach through a data-driven study on a rigid wing-based AWE system.

Reed - Optimal Cyclic Control of an Ocean Kite System in a Spatiotemporally Varying Flow Environment.pdf
This paper presents a technique for maximizing the power production of a tethered marine energy-harvesting kite performing cross-current figure-eight flight in a 3D spatiotemporally varying flow environment. To generate a net positive power output, the kite employs a cyclic spooling method, where the kite is spooled out while flying in high-tension crosscurrent figure-eight flight, then spooled in radially towards the base-station under low tension.

Citation Formats

TY - DATA AB - Two papers submitted (and accepted) to the 2021 American Control Conference (ACC), both focused on different attributes of kite control in variable flow environments. Siddiqui et. al. focuses on tether elevation angle control in a spatiotemporally varying environment, and Reed et. al. focuses on spooling control in such an environment. The abstracts of each accepted paper are included below: Siddiqui - Gaussian Process-Based Receding Horizon Adaptive Control.pdf This work focuses on the development of an adaptive control strategy that fuses Gaussian process modeling and receding horizon control to ideally manage the tradeoff between exploration (i.e., maintaining an adequate map of the resource) and exploitation (i.e., carrying out a mission, which consists in this work of harvesting the resource). The use of a receding horizon formulation aids in the consideration of limited mobility, which is characteristic of dynamical systems. In this work, we focus on an airborne wind energy (AWE) system as a case study, where the system can vary its elevation angle (tether angle relative to the ground, which trades off higher efficiency with higher-altitude operation) and flight path parameters in order to maximize power output in a wind environment that is changing in space and time. We demonstrate the effectiveness of the proposed approach through a data-driven study on a rigid wing-based AWE system. Reed - Optimal Cyclic Control of an Ocean Kite System in a Spatiotemporally Varying Flow Environment.pdf This paper presents a technique for maximizing the power production of a tethered marine energy-harvesting kite performing cross-current figure-eight flight in a 3D spatiotemporally varying flow environment. To generate a net positive power output, the kite employs a cyclic spooling method, where the kite is spooled out while flying in high-tension crosscurrent figure-eight flight, then spooled in radially towards the base-station under low tension. AU - Vermillion, Chris A2 - Reed, James A3 - Siddiqui, Ayaz A4 - Haydon, Ben A5 - Daniels, Josh A6 - Cobb, Mitchell A7 - Muglia, Michael DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - KW - MHK KW - Marine KW - Hydrokinetic KW - energy KW - power KW - control KW - tether KW - tethered kite KW - ocean kite KW - CEC KW - tidal kite KW - controls KW - optimization KW - spatiotemporally KW - flow KW - spooling KW - figure-eight KW - airborne wind energy KW - adaptive KW - cyclic KW - optimal KW - receding horizon KW - Gaussian KW - elevation angle LA - English DA - 2020/09/14 PY - 2020 PB - North Carolina State University T1 - Optimal kite control in spatiotemporally varying flow fields - ACC 2021 UR - https://data.openei.org/submissions/7992 ER -
Export Citation to RIS
Vermillion, Chris, et al. Optimal kite control in spatiotemporally varying flow fields - ACC 2021. North Carolina State University, 14 September, 2020, MHKDR. https://mhkdr.openei.org/submissions/356.
Vermillion, C., Reed, J., Siddiqui, A., Haydon, B., Daniels, J., Cobb, M., & Muglia, M. (2020). Optimal kite control in spatiotemporally varying flow fields - ACC 2021. [Data set]. MHKDR. North Carolina State University. https://mhkdr.openei.org/submissions/356
Vermillion, Chris, James Reed, Ayaz Siddiqui, Ben Haydon, Josh Daniels, Mitchell Cobb, and Michael Muglia. Optimal kite control in spatiotemporally varying flow fields - ACC 2021. North Carolina State University, September, 14, 2020. Distributed by MHKDR. https://mhkdr.openei.org/submissions/356
@misc{OEDI_Dataset_7992, title = {Optimal kite control in spatiotemporally varying flow fields - ACC 2021}, author = {Vermillion, Chris and Reed, James and Siddiqui, Ayaz and Haydon, Ben and Daniels, Josh and Cobb, Mitchell and Muglia, Michael}, abstractNote = {Two papers submitted (and accepted) to the 2021 American Control Conference (ACC), both focused on different attributes of kite control in variable flow environments. Siddiqui et. al. focuses on tether elevation angle control in a spatiotemporally varying environment, and Reed et. al. focuses on spooling control in such an environment. The abstracts of each accepted paper are included below:

Siddiqui - Gaussian Process-Based Receding Horizon Adaptive Control.pdf
This work focuses on the development of an adaptive control strategy that fuses Gaussian process modeling and receding horizon control to ideally manage the tradeoff between exploration (i.e., maintaining an adequate map of the resource) and exploitation (i.e., carrying out a mission, which consists in this work of harvesting the resource). The use of a receding horizon formulation aids in the consideration of limited mobility, which is characteristic of dynamical systems. In this work, we focus on an airborne wind energy (AWE) system as a case study, where the system can vary its elevation angle (tether angle relative to the ground, which trades off higher efficiency with higher-altitude operation) and flight path parameters in order to maximize power output in a wind environment that is changing in space and time. We demonstrate the effectiveness of the proposed approach through a data-driven study on a rigid wing-based AWE system.

Reed - Optimal Cyclic Control of an Ocean Kite System in a Spatiotemporally Varying Flow Environment.pdf
This paper presents a technique for maximizing the power production of a tethered marine energy-harvesting kite performing cross-current figure-eight flight in a 3D spatiotemporally varying flow environment. To generate a net positive power output, the kite employs a cyclic spooling method, where the kite is spooled out while flying in high-tension crosscurrent figure-eight flight, then spooled in radially towards the base-station under low tension.}, url = {https://mhkdr.openei.org/submissions/356}, year = {2020}, howpublished = {MHKDR, North Carolina State University, https://mhkdr.openei.org/submissions/356}, note = {Accessed: 2025-05-03} }

Details

Data from Sep 14, 2020

Last updated Mar 1, 2021

Submitted Feb 10, 2021

Organization

North Carolina State University

Contact

Chris Vermillion

919.515.5244

Authors

Chris Vermillion

North Carolina State University

James Reed

North Carolina State University

Ayaz Siddiqui

North Carolina State University

Ben Haydon

North Carolina State University

Josh Daniels

North Carolina State University

Mitchell Cobb

North Carolina State University

Michael Muglia

North Carolina State University

DOE Project Details

Project Name Device Design and Robust Periodic Motion Control of an Ocean Kite System for Marine Hydrokinetic Energy Harvesting

Project Lead Carrie Noonan

Project Number EE0008635

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