Spooling control design for flight optimization of tethered tidal kites
This submission includes three peer-reviewed (under review) papers from the researchers at North Carolina State University presenting different control-based techniques to maximize the efficiency and robustness of a tethered energy-harvesting kite. Below are the abstracts of each file included in the submission.
Naik ACC - Geometric Structural Control Co-Design.pdf
Focusing on a marine hydrokinetic energy application, this paper presents a combined geometric, structural, and control co-design framework for optimizing the performance of energy-harvesting kites subject to structural constraints. While energy-harvesting kites can offer more than an order of magnitude more power per unit of mass than traditional fixed turbines, they represent complex flying devices that demand robust, efficient flight controllers and are presented with significant structural loads that are larger with more efficient flight.
Daniels IFAC - Optimal Cyclic Spooling Control.pdf
This paper presents a control strategy for optimizing the the spooling speeds of tethered energy harvesting systems that generate energy through cyclic spooling motions which consist of high-tension spool-out and low-tension spool-in. Specifically, we fuse continuous-time optimal control tools, including Pontryagin?s Maximum Principle, with an iteration domain costate correction, to develop an optimal spooling controller for energy extraction. In this work, we focus our simulation results specifically on an ocean kite system where the goal is to optimize the spooling profile while remaining at a consistent operating depth and corresponding average tether length.
Reed IFAC - Kite Control in Turbulence.pdf
This paper presents a hierarchical control framework for a kite-based MHK system that executes power-augmenting cross-current flight, along with simulation results based on a high-fidelity turbulent flow model that is representative of flow conditions in the Gulf Stream. The hierarchical controller is used to robustly regulate both the kite?s flight path and the intra-cycle spooling behavior, which is ultimately used to realize net positive energy production at a base station motor/generator system. Two configurations are examined in this paper: one in which the kite is suspended from a surface-mounted platform, and another in which the kite is deployed from the seabed.
Citation Formats
TY - DATA
AB - This submission includes three peer-reviewed (under review) papers from the researchers at North Carolina State University presenting different control-based techniques to maximize the efficiency and robustness of a tethered energy-harvesting kite. Below are the abstracts of each file included in the submission.
Naik ACC - Geometric Structural Control Co-Design.pdf
Focusing on a marine hydrokinetic energy application, this paper presents a combined geometric, structural, and control co-design framework for optimizing the performance of energy-harvesting kites subject to structural constraints. While energy-harvesting kites can offer more than an order of magnitude more power per unit of mass than traditional fixed turbines, they represent complex flying devices that demand robust, efficient flight controllers and are presented with significant structural loads that are larger with more efficient flight.
Daniels IFAC - Optimal Cyclic Spooling Control.pdf
This paper presents a control strategy for optimizing the the spooling speeds of tethered energy harvesting systems that generate energy through cyclic spooling motions which consist of high-tension spool-out and low-tension spool-in. Specifically, we fuse continuous-time optimal control tools, including Pontryagin?s Maximum Principle, with an iteration domain costate correction, to develop an optimal spooling controller for energy extraction. In this work, we focus our simulation results specifically on an ocean kite system where the goal is to optimize the spooling profile while remaining at a consistent operating depth and corresponding average tether length.
Reed IFAC - Kite Control in Turbulence.pdf
This paper presents a hierarchical control framework for a kite-based MHK system that executes power-augmenting cross-current flight, along with simulation results based on a high-fidelity turbulent flow model that is representative of flow conditions in the Gulf Stream. The hierarchical controller is used to robustly regulate both the kite?s flight path and the intra-cycle spooling behavior, which is ultimately used to realize net positive energy production at a base station motor/generator system. Two configurations are examined in this paper: one in which the kite is suspended from a surface-mounted platform, and another in which the kite is deployed from the seabed.
AU - Daniels, Joshua
A2 - Reed, James
A3 - Cobb, Mitchell
A4 - Siddiqui, Ayaz
A5 - Muglia, Michael
A6 - Vermillion, Chris
A7 - Naik, Kartik
A8 - Beknalkar, Sumedh
A9 - Mazzoleni, Andre
DB - Marine and Hydrokinetic Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - MHK
KW - Marine
KW - Hydrokinetic
KW - energy
KW - power
KW - CEC
KW - tidal kite
KW - Gulf Stream
KW - costate correction
KW - Pontryagins Maximum Principle
KW - turbulent flow
KW - spooling
KW - optimal
KW - geometric
KW - structural
KW - control
KW - design
KW - cyclic spooling
KW - modeling
KW - ocean current
KW - controller
KW - plant
KW - model
KW - flight optimization
KW - winch
KW - flight
KW - hydrofoil
KW - cross-current
LA - English
DA - 2019/09/16
PY - 2019
PB - North Carolina State University
T1 - Spooling control design for flight optimization of tethered tidal kites
UR - https://mhkdr.openei.org/submissions/340
ER -
Daniels, Joshua, et al. Spooling control design for flight optimization of tethered tidal kites. North Carolina State University, 16 September, 2019, Marine and Hydrokinetic Data Repository. https://mhkdr.openei.org/submissions/340.
Daniels, J., Reed, J., Cobb, M., Siddiqui, A., Muglia, M., Vermillion, C., Naik, K., Beknalkar, S., & Mazzoleni, A. (2019). Spooling control design for flight optimization of tethered tidal kites. [Data set]. Marine and Hydrokinetic Data Repository. North Carolina State University. https://mhkdr.openei.org/submissions/340
Daniels, Joshua, James Reed, Mitchell Cobb, Ayaz Siddiqui, Michael Muglia, Chris Vermillion, Kartik Naik, Sumedh Beknalkar, and Andre Mazzoleni. Spooling control design for flight optimization of tethered tidal kites. North Carolina State University, September, 16, 2019. Distributed by Marine and Hydrokinetic Data Repository. https://mhkdr.openei.org/submissions/340
@misc{MHKDR_Dataset_340,
title = {Spooling control design for flight optimization of tethered tidal kites},
author = {Daniels, Joshua and Reed, James and Cobb, Mitchell and Siddiqui, Ayaz and Muglia, Michael and Vermillion, Chris and Naik, Kartik and Beknalkar, Sumedh and Mazzoleni, Andre},
abstractNote = {This submission includes three peer-reviewed (under review) papers from the researchers at North Carolina State University presenting different control-based techniques to maximize the efficiency and robustness of a tethered energy-harvesting kite. Below are the abstracts of each file included in the submission.
Naik ACC - Geometric Structural Control Co-Design.pdf
Focusing on a marine hydrokinetic energy application, this paper presents a combined geometric, structural, and control co-design framework for optimizing the performance of energy-harvesting kites subject to structural constraints. While energy-harvesting kites can offer more than an order of magnitude more power per unit of mass than traditional fixed turbines, they represent complex flying devices that demand robust, efficient flight controllers and are presented with significant structural loads that are larger with more efficient flight.
Daniels IFAC - Optimal Cyclic Spooling Control.pdf
This paper presents a control strategy for optimizing the the spooling speeds of tethered energy harvesting systems that generate energy through cyclic spooling motions which consist of high-tension spool-out and low-tension spool-in. Specifically, we fuse continuous-time optimal control tools, including Pontryagin?s Maximum Principle, with an iteration domain costate correction, to develop an optimal spooling controller for energy extraction. In this work, we focus our simulation results specifically on an ocean kite system where the goal is to optimize the spooling profile while remaining at a consistent operating depth and corresponding average tether length.
Reed IFAC - Kite Control in Turbulence.pdf
This paper presents a hierarchical control framework for a kite-based MHK system that executes power-augmenting cross-current flight, along with simulation results based on a high-fidelity turbulent flow model that is representative of flow conditions in the Gulf Stream. The hierarchical controller is used to robustly regulate both the kite?s flight path and the intra-cycle spooling behavior, which is ultimately used to realize net positive energy production at a base station motor/generator system. Two configurations are examined in this paper: one in which the kite is suspended from a surface-mounted platform, and another in which the kite is deployed from the seabed.
},
url = {https://mhkdr.openei.org/submissions/340},
year = {2019},
howpublished = {Marine and Hydrokinetic Data Repository, North Carolina State University, https://mhkdr.openei.org/submissions/340},
note = {Accessed: 2025-04-23}
}
Details
Data from Sep 16, 2019
Last updated Mar 1, 2021
Submitted Dec 4, 2020
Organization
North Carolina State University
Contact
Chris Vermillion
919.515.5244
Authors
Keywords
MHK, Marine, Hydrokinetic, energy, power, CEC, tidal kite, Gulf Stream, costate correction, Pontryagins Maximum Principle, turbulent flow, spooling, optimal, geometric, structural, control, design, cyclic spooling, modeling, ocean current, controller, plant, model, flight optimization, winch, flight, hydrofoil, cross-currentDOE 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