Optimal kite control in spatiotemporally varying flow fields - ACC 2021
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 -
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
Original Source
https://mhkdr.openei.org/submissions/356Research Areas
Keywords
MHK, Marine, Hydrokinetic, energy, power, control, tether, tethered kite, ocean kite, CEC, tidal kite, controls, optimization, spatiotemporally, flow, spooling, figure-eight, airborne wind energy, adaptive, cyclic, optimal, receding horizon, Gaussian, elevation angleDOE 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