Airborne Wind Energy technology still faces many challenges before its commercialisation. One of these challenges lies in the reliability of the operation, in terms of safety, predictability, robustness and the desired behaviour of the system. ESR13’s work aims at extending robust control analysis methods to dynamically uncertain systems under periodic operation. This directly addresses the control of tethered wings in the power generation phase. The addressed research fields include dynamic modelling, limit-cycle stability theory, optimization and robust control. The focus lies in particular on the stability analysis of both nominal as well as uncertain system.
Modelling and Periodic Control of Dynamically Uncertain Airfoils
Modelling and Periodic Control of Dynamically Uncertain Airfoils
Publications
Locally Power-Optimal Nonlinear Model Predictive Control for Fixed-Wing Airborne Wind Energy.
Proceedings of the 2019 American Control Conference (ACC).
(2019).
Transverse Contraction-Based Stability Analysis for Periodic Trajectories of Controlled Power Kites with Model Uncertainty.
2018 IEEE Conference on Decision and Control (CDC).
(2018).
Modeling, Identification, Estimation and Adaptation for the Control of Power-Generating Kites.
IFAC-PapersOnLine.
(2018).
Modeling, Identification, Estimation and Adaptation for the Control of Power-Generating Kites.
Proceedings of the 18th IFAC Symposium on System Identification SYSID 2018.
(2018).
Stability Verification for Periodic Trajectories of Autonomous Kite Power Systems.
2018 European Control Conference (ECC).
(2018).
Predictive Guidance Control for Autonomous Kites with Input Delay.
IFAC-PapersOnLine.
(2017).
Stability Certificates for a Model-Based Controller for Autonomous Power Kites.
Book of Abstracts of the International Airborne Wind Energy Conference (AWEC 2017).
(2017).
Predictive Guidance Control for Autonomous Kites with Input Delay.
Proceedings of the 20th IFAC World Congress.
(2017).