Automatic tuning of control engineering algorithms with Bayesian optimization

D Stenger, D Abel, JS Trimpe - 2023 - publications.rwth-aachen.de
Kurzfassung Die korrekte Wahl von Tuningparametern regelungstechnischer Algorithmen ist
entscheidend für die Güte des geschlossenen Regelkreises. Hierfür können manuelles …

Scheduled state feedback control of a wind turbine

WP Engels, D Van der Hoek, W Yu… - Journal of Physics …, 2020 - iopscience.iop.org
Many wind turbines are still controlled using gain scheduled, PI (D) controllers. Another
option is to use a state feedback controller, such as LQG control. However, for wind turbines …

What Makes an Effective Scalarising Function for Multi-Objective Bayesian Optimisation?

C Stock-Williams, T Chugh, A Rahat, W Yu - arXiv preprint arXiv …, 2021 - arxiv.org
Performing multi-objective Bayesian optimisation by scalarising the objectives avoids the
computation of expensive multi-dimensional integral-based acquisition functions, instead of …

The effect of a speed exclusion zone and active tower dampers on an upwind fixed-hub two-bladed 20 MW wind turbine

F Anstock, V Schorbach - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Large two-bladed offshore wind turbines possess cost-saving potentials in their complete life-
cycle, together with general structural blade advantages, compared to similar three-bladed …