3 papers
eess.SY2021
Receding Horizon Iterative Learning Control for Continuously Operated Systems
Maxwell Wu, Mitchell Cobb, James Reed +3
This paper presents an iterative learning control (ILC) scheme for continuously operated repetitive systems for which no initial condition reset exists. To accomplish this, we deve…
eess.SY2020
On Wind Speed Sensor Configurations and Altitude Control in Airborne Wind Energy Systems
Laurel N. Dunn, Christopher Vermillion, Fotini K. Chow +1
Real-time altitude control of airborne wind energy (AWE) systems can improve performance by allowing turbines to track favorable wind speeds across a range of operating altitudes.…
eess.SY2019
Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems
Ali Baheri, Chris Vermillion
We present a data-driven optimization framework that aims to address online adaptation of the flight path shape for an airborne wind energy system (AWE) that follows a repetitive p…