A Fused Gaussian Process Modeling and Model Predictive Control Framework for Real-Time Path Adaptation of an Airborne Wind Energy System
Author:
Affiliation:
1. Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, USA
2. Department of Mechanical Engineering, University of North Carolina at Charlotte, Charlotte, NC, USA
Funder
U.S. Department of Energy, under the award entitled “Device Design and Robust Period Motion Control of an Ocean Kite System for Hydrokinetic Energy Harvesting”
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
https://ieeexplore.ieee.org/ielam/87/10001841/9789135-aam.pdf
Reference27 articles.
1. Wind profiler at Cape Henlopen;archer,2014
2. High level control and optimization of kite power systems;fechner;Proc 8th PhD Seminar Wind Energy Eur,2012
3. Spatiotemporal Optimization Through Gaussian Process-Based Model Predictive Control: A Case Study in Airborne Wind Energy
4. Real-Time Optimization and Adaptation of the Crosswind Flight of Tethered Wings for Airborne Wind Energy
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