Artikelaktionen

Sie sind hier: FRIAS Fellows Fellows Dr. Sebastien Gros

Dr. Sebastien Gros

Chalmers University of Technology, Sweden
Department of Signal & Systems
Junior Fellow
Januar - März 2016

IMTEK – Gebäude 102
Systemtheorie, Regelungstechnik und Optimierung

CV

Sebastien Gros got his MSc degree in mechatronics from EPFL, and obtained his PhD in 2008 from the Automatic Control Laboratory, EPFL. He did his post-doc with OPTICON/OPTEC, at KU Leuven, Belgium. He is now assistant Professor at the department of Signal and Systems at Chalmers University of Technology, Sweden, where he conducts research on energy-related problems, and optimal control.

 

Publikationen (Auswahl)

  • 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-Projekt

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.