64 citations · 152 across the 18 of their papers we have counts for
20 papers
Data-Driven Surrogate-Model for Real-Time Loads Prediction in Floating Wind Farms
Federico Bellini, Majid Ebrahimi, Alessandro Fontanella +4
This work presents a data-driven load-surrogate modelling framework for real-time control of floating offshore wind farms. The proposed methodology uses mid-fidelity simulations pe…
On the Analysis and Synthesis of Wind Turbine Side-Side Tower Load Control via Demodulation
Atindriyo K. Pamososuryo, Sebastiaan P. Mulders, Riccardo Ferrari +1
As wind turbine power capacities continue to rise, taller and more flexible tower designs are needed for support. These designs often have the tower's natural frequency in the turb…
An Economic Model Predictive Control Approach for Load Mitigation on Multiple Tower Locations of Wind Turbines
Zhixin Feng, Alexander J. Gallo, Yichao Liu +3
The current trend in the evolution of wind turbines is to increase their rotor size in order to capture more power. This leads to taller, slender and more flexible towers, which th…
Convex Model Predictive Control for Down-regulation Strategies in Wind Turbines
Jean Gonzalez Silva, Riccardo Ferrari, Jan-Willem van Wingerden
Wind turbine (WT) controllers are often geared towards maximum power extraction, while suitable operating constraints should be guaranteed such that WT components are protected fro…
Periodic Load Rejection for Floating Offshore Wind Turbines via Constrained Subspace Predictive Repetitive Control
Yichao Liu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden
Individual Pitch Control (IPC) is an effective control strategy to mitigate the blade loads on large-scale wind turbines. Since IPC usually requires high pitch actuation, the safet…
Active Power Control of Waked Wind Farms: Compensation of Turbine Saturation and Thrust Force Balance
Jean Gonzalez Silva, Bart Doekemeijer, Riccardo Ferrari +1
Active power control regulates the total power generated by wind farms with the power consumed on the electricity grid. Due to wake effects, the available power is reduced and turb…
Blade Effective Wind Speed Estimation: A Subspace Predictive Repetitive Estimator Approach
Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo Ferrari +2
Modern wind turbine control algorithms typically utilize rotor effective wind speed measured from an anemometer on the turbine's nacelle. Unfortunately, the measured wind speed fro…
Fault-Tolerant Individual Pitch Control of Floating Offshore Wind Turbines via Subspace Predictive Repetitive Control
Yichao Liu, Joeri Frederik, Riccardo M. G. Ferrari +3
Individual Pitch Control (IPC) is an effective and widely-used strategy to mitigate blade loads in wind turbines. However, conventional IPC fails to cope with blade and actuator fa…
Adaptive Feedforward Control For Reset Feedback Control Systems -- Application in Precision Motion Control
Karst Brummelhuis, Niranjan Saikumar, Jan-Willem van Wingerden +1
This paper presents a novel adaptive feedforward controller design for reset control systems. The combination of feedforward and reset feedback control promises high performance as…
Fault Diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: a Mixed Model and Signal-based Approach
Yichao Liu, Riccardo Ferrari, Ping Wu +3
Floating Offshore Wind Turbines (FOWTs) operate in the harsh marine environment with limited accessibility and maintainability. Not only failures are more likely to occur than in l…
Fault Detection of the Mooring system in Floating Offshore Wind Turbines based on the Wave-excited Linear Model
Yichao Liu, Alessandro Fontanella, Ping Wu +2
Floating Offshore Wind Turbines (FOWTs) are more prone to suffer from faults and failures than bottom-fixed counterparts due to the severe wind and wave loads typical of deep water…
Expert Elicitation on Wind Farm Control
J. W. van Wingerden, P. A. Fleming, T. Göçmen +13
Wind farm control is an active and growing field of research in which the control actions of individual turbines in a farm are coordinated, accounting for inter-turbine aerodynamic…
Feedforward control for wave disturbance rejection on floating offshore wind turbines
Mees Al, Alessandro Fontanella, Daan van der Hoek +3
Floating offshore wind turbines allow wind energy to be harvested in deep waters. However, additional dynamics and structural loads may result when the floating platform is being e…
Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data
Leif Erik Andersson, Bart Doekemeijer, Daan van der Hoek +2
This article investigates the optimization of yaw control inputs of a nine-turbine wind farm. The wind farm is simulated using the high-fidelity simulator SOWFA. The optimization i…
On wind farm wake mixing strategies using dynamic individual pitch control
Joeri Frederik, Bart Doekemeijer, Sebastiaan Mulders +1
Dynamic wind farm control is a new strategy that aims to apply time-varying, often periodic, control signals on upstream wind turbines to increase the wake mixing behind the turbin…
Predicting the benefit of wake steering on the annual energy production of a wind farm using large eddy simulations and Gaussian process regression
Daan van der Hoek, Bart Doekemeijer, Leif Erik Andersson +1
In recent years, wake steering has been established as a promising method to increase the energy yield of a wind farm. Current practice in estimating the benefit of wake steering o…
The helix approach: using dynamic individual pitch control to enhance wake mixing in wind farms
Joeri Alexis Frederik, Bart Matthijs Doekemeijer, Sebastiaan Paul Mulders +1
Wind farm control using dynamic concepts is a research topic that is receiving an increasing amount of interest. The main concept of this approach is that dynamic variations of the…
Analysis and optimal individual pitch control decoupling by inclusion of an azimuth offset in the multi-blade coordinate transformation
Sebastiaan Paul Mulders, Atindriyo Kusumo Pamososuryo, Gianmarco Emilio Disario +1
With the trend of increasing wind turbine rotor diameters, the mitigation of blade fatigue loadings is of special interest to extend the turbine lifetime. Fatigue load reductions c…
Mean and variance of the LQG cost function
Hildo Bijl, Jan Willem van Wingerden, Thomas B. Schön +1
Linear Quadratic Gaussian (LQG) systems are well-understood and methods to minimize the expected cost are readily available. Less is known about the statistical properties of the r…
System Identification through Online Sparse Gaussian Process Regression with Input Noise
Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden +1
There has been a growing interest in using non-parametric regression methods like Gaussian Process (GP) regression for system identification. GP regression does traditionally have…