Wind turbines arranged in a wind plant impact each other through their wakes. Wind plant control is an active research field that attempts to improve wind plant performance by …
YM Kim - Journal of the Franklin Institute, 2016 - Elsevier
This paper proposes data-driven H∞ feedback control which is synthesized based on LMI formulation. With I/O data, a closed-loop output predictor is parameterized by stochastically …
O Tutty, M Blackwell, E Rogers… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Currently, there is significant research into the inclusion of smart devices in wind turbine rotor blades, with the aim, in conjunction with collective and individual pitch control, of …
G Mercere - arXiv preprint arXiv:1305.7121, 2013 - arxiv.org
As far as the identification of linear time-invariant state-space representation is concerned, among all of the solutions available in the literature, the subspace-based state-space model …
M Shan, B Fischer, P Brosche - 2013 - degruyter.com
Moderne Windenergieanlagen sind komplexe mechatronische Systeme und bieten aus Sicht der Regelungstechnik eine Vielzahl von Möglichkeiten und Herausforderungen. Eine …
YM Kim - International Journal of System Control and …, 2014 - inderscienceonline.com
In this paper, data–driven system modelling, control, and fault detection technique for wind turbine systems are researched. The developed algorithm is to recursively update system …
In this paper, a new identification method for large interconnected systems is presented. A string of systems which all have a full state-space parametrization is considered. The …
YM Kim - 2015 IEEE Aerospace Conference, 2015 - ieeexplore.ieee.org
In this research, a technique is developed to separate an additive fault from a multiplicative fault of a system which is disturbed by integrated white noise. First, Predictor-based System …
YM Kim - International Journal of Control, Automation and …, 2015 - Springer
In this research, a technique is developed to separate an additive fault from a multiplicative fault by using recursive update of predictor-based system identification. If additive fault …