Selected Publications
- A Relaxation Strategy for the Optimization of Airborne Wind Energy Systems, S. Gros, M. Zanon and M. Diehl, ECC 2015
- Control of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving Horizon Estimation, S. Gros, M. Zanon and M. Diehl, ECC 2015
- An Improved Real-time Economic NMPC Scheme for Wind Turbine Control Using Spline-Interpolated Aerodynamic Coefficients, S. Gros, R. Quirynen, M. Diehl, CDC 2014
- Modeling of airborne wind energy systems in natural coordinates, S. Gros and M. Diehl, Airborne Wind Energy, 2013, Springer.
- A Newton Algorithm for Distributed Semi-Definite Programs Using the Primal-Dual Interior-point Method, S. Gros, CDC 2014
FRIAS Project
Fault-detection & Recovery of AWE systems.
Airborne Wind Energy (AWE) is a promising new technology that could drastically increase the amount of wind energy produced in our societies. AWE is in its early phase of development and requires yet a significant amount of academic and industrial research to reach maturity. Among the technical difficulties to be surmounted, the safety of AWE systems will be a major one. This project will investigate this aspect of the problem from a control perspective, and aims at laying down a foundation to tackle the problem. The work will focus on the problem of fault-detection and emergency recovery of a promising class of AWE systems.