Journal ArticleDOI
Wind Tunnel Testing of Subspace Predictive Repetitive Control for Variable Pitch Wind Turbines
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TLDR
Subspace predictive repetitive control (RC) is used, which combines online system identification with the continuous implementation of RC to form a fully adaptive control law, which demonstrates the ability to adjust to changes in system dynamics while maintaining a high degree of load alleviation.Abstract:
An increasing number of wind turbines implement individual blade pitch control (IPC) to reduce turbine dynamic loading, and thereby, to reduce the capital and operational costs associated with energy production. The aim of this paper is to demonstrate IPC on a wind turbine prototype, in a model-free data-driven manner and with reduced pitch activity. For this, subspace predictive repetitive control (RC) is used, which combines online system identification with the continuous implementation of RC to form a fully adaptive control law. The controller is tested on a scaled two-bladed wind turbine with active pitchable blades, placed in an open-jet wind tunnel. Substantial load reductions to an extent of 68% are observed, and strict control over actuator signal frequency content is achieved. The control law also demonstrates the ability to adjust to changes in system dynamics while maintaining a high degree of load alleviation.read more
Citations
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Proceedings ArticleDOI
A tutorial on control-oriented modeling and control of wind farms
Sjoerd Boersma,Bart M. Doekemeijer,P.M.O. Gebraad,Paul Fleming,Jennifer Annoni,Andrew Scholbrock,Joeri Frederik,J-W van Wingerden +7 more
TL;DR: This paper can serve as a source of background information and provides many references regarding control-oriented modeling and control of wind farms and recent developments and literature are discussed and categorized.
Journal ArticleDOI
Generation of user defined turbulent inflow conditions by an active grid for validation experiments
TL;DR: A wind tunnel experiment is presented which combines the use of controlled turbulent inflow conditions and a two-bladed model wind turbine utilizing a new control strategy called subspace predictive repetitive control (SPRC) and the validation of the performance of SPRC was made under turbulent infows generated by an active grid.
Journal ArticleDOI
Drift-Free Perturb and Observe MPPT Algorithm With Improved Performance for SEIG-Based Stand-Alone Wind Energy Generation System
TL;DR: The proposed drift-free perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for a self-excited induction generator-based stand-alone wind energy generation system (WEGS) has a good tracking response and higher efficiency compared to conventional P&O.
Journal ArticleDOI
Data-driven repetitive control: Wind tunnel experiments under turbulent conditions
TL;DR: In this paper, a data-driven individual pitch control (IPC) methodology called Subspace Predictive Repetitive Control (SPRC) is employed to alleviate the periodic loads on turbine blades.
Journal ArticleDOI
Neural network model predictive control optimisation for large wind turbines
TL;DR: The proposed radial basis function neural network optimisation model predictive control (MPC) for large wind turbines solves global optimisation problems and improves the dynamic performance of system.
References
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Journal ArticleDOI
Iterative learning control and repetitive control for engineering practice
TL;DR: In this article, the authors discuss linear iterative learning and repetitive control, presenting general purpose control laws with only a few parameters to tune The method of tuning them is straightforward, maki
Journal ArticleDOI
Individual Blade Pitch Control for Load Reduction
TL;DR: The possibility of using pitch-regulated wind turbines as a way of reducing loads has been suggested many times over the years, but the idea has yet to gain full commercial acceptance as discussed by the authors.
Book
Filtering and System Identification: A Least Squares Approach
Michel Verhaegen,Vincent Verdult +1 more
TL;DR: In this paper, the authors present an approach for the estimation of spectra and frequency response functions based on output-error parametric model estimation and subspace model identification with random variables and signals.
Journal ArticleDOI
Adaptation and tracking in system identification—a survey
Lenhart Ljung,Svante Gunnarsson +1 more
TL;DR: This article gives a survey of basic techniques to derive and analyse algorithms for tracking time-varying systems, with special attention to the study of how different assumptions about the true system's variations affect the algorithm.