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20162026
most citedThe Immersion and Invariance Wind Speed Estimator Revisited and New Results

35 citations · 160 across the 13 of their papers we have counts for

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9 papers · 1 filter

eess.SY2026

Data-driven predictive control of nonlinear systems using weighted regularization

Fritz A. Engeln, Sebastian Zieglmeier, Marta Zagórowska +1

Data-driven control methods, like Data-enabled Predictive Control (DeePC), are often formulated for linear systems, where the principle of superposition allows global system behavi…

eess.SY2024★ 1 cited

Closed-loop Data-Enabled Predictive Control and its equivalence with Closed-loop Subspace Predictive Control

Rogier Dinkla, Sebastiaan Mulders, Tom Oomen +1

Factors like improved data availability and increasing system complexity have sparked interest in data-driven predictive control (DDPC) methods like Data-enabled Predictive Control…

eess.SY2022★ 32 cited

Adjoint Optimisation for Wind Farm Flow Control with a Free-Vortex Wake Model

Maarten J. van den Broek, Delphine De Tavernier, Benjamin Sanderse +1

Wind farm flow control aims to improve wind turbine performance by reducing aerodynamic wake interaction between turbines. Dynamic, physics-based models of wind farm flows have bee…

eess.SY2022

Active power control of wind farms: an instantaneous approach on waked conditions

Jean Gonzalez Silva, Bart Matthijs Doekemeijer, Riccardo Ferrari +1

This paper presents a closed-loop controller for wind farms to provide active power control services using a high-fidelity computational fluid dynamics based wind plant simulator.…

eess.SY2021

The Proportional Integral Notch and Coleman Blade Effective Wind Speed Estimators and Their Similarities

Yichao Liu, Atindriyo K. Pamososuryo, Sebastiaan P. Mulders +2

The estimation of the rotor effective wind speed is used in modern wind turbines to provide advanced power and load control capabilities. However, with the ever increasing rotor si…

eess.SY2021★ 35 cited

The Immersion and Invariance Wind Speed Estimator Revisited and New Results

Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari +1

The Immersion and Invariance (I&I) wind speed estimator is a powerful and widely-used technique to estimate the rotor effective wind speed on horizontal axis wind turbines. Anyway,…

eess.SY2019★ 27 cited

Preventing wind turbine tower natural frequency excitation with a quasi-LPV model predictive control scheme

Sebastiaan Paul Mulders, Tobias Gybel Hovgaard, Jacob Deleuran Grunnet +1

With the ever increasing power rates of wind turbines, more advanced control techniques are needed to facilitate tall towers that are low-weight and cost effective, but in effect m…

eess.SY2018

A tutorial on the synthesis and validation of a closed-loop wind farm controller using a steady-state surrogate model

Bart M Doekemeijer, Paul A Fleming, Jan-Willem van Wingerden

In wind farms, wake interaction leads to losses in power capture and accelerated structural degradation when compared to freestanding turbines. One method to reduce wake losses is…

eess.SY2018★ 34 cited

Data-driven repetitive control: Wind tunnel experiments under turbulent conditions

Joeri Frederik, Lars Kröger, Gert Gülker +1

A commonly applied method to reduce the cost of wind energy, is alleviating the periodic loads on turbine blades using Individual Pitch Control (IPC). In this paper, a data-driven…