Periodic LQG Wind Turbine Control with Adaptive Load Reduction

Research output: Contribution to journalResearch articleInvitedpeer-review

Contributors

Abstract

A periodic linear quadratic Gaussian (LQG) control law augmented with a reference point adaption to enable adequate rotor speed tracking and sufficient load reductions for a wind turbine is presented. The solution of the periodic LQG control problem is based on solving two periodic Ricatti differential equations in continuous time with a multiple shooting integration technique. For this, the available gridded linear time-variant description of the turbine is converted to a harmonic representation using harmonic Fourier approximation. While the
periodic LQG controller provides rotor speed tracking and effective damping of the aeroelastic blade modes, the reference point adaption explicitly reduces the loads resulting from the periodic operation of the turbine rotor at the rotor rotational frequency. The performance of the proposed control system is compared against a baseline controller in realistic wind scenarios using a high
fidelity nonlinear simulator. The results show a significant damage equivalent load reduction while maintaining adequate rotor speed tracking.

Details

Original languageEnglish
Journal IFAC-PapersOnLine
Publication statusAccepted/In press - Jul 2023
Peer-reviewedYes

Conference

Title22nd World Congress of the International Federation of Automatic Control
Abbreviated titleIFAC 2023
Conference number22
Duration9 - 14 July 2023
Website
Degree of recognitionInternational event
LocationPacific Convention Plaza Yokohama
CityYokohama
CountryJapan

Keywords