IEEE - Institute of Electrical and Electronics Engineers, Inc. - Iterative Learning-Based Path Optimization for Repetitive Path Planning, With Application to 3-D Crosswind Flight of Airborne Wind Energy Systems

Author(s): Mitchell K. Cobb ; Kira Barton ; Hosam Fathy ; Chris Vermillion
Sponsor(s): IEEE Control Systems Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1 - 13
ISSN (CD): 2374-0159
ISSN (Electronic): 1558-0865
ISSN (Paper): 1063-6536
DOI: 10.1109/TCST.2019.2912345
Regular:

This paper presents an iterative learning approach for optimizing the course geometry in repetitive path following applications. In particular, we focus on airborne wind energy (AWE) systems. Our... View More

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