Model predictive control of a wind turbine modelled in Simpack

The Science of Making Torque from Wind 2014

Jassmann, U.^1 ; Berroth, J.^2 ; Matzke, D.^1 ; Schelenz, R.^3 ; Reiter, M.^1 ; Jacobs, G.^3 ; Abel, D.^1

Institute of Automatic Control, RWTH Aachen University, 52056 Aachen, Germany^1

Institute for Machine Elements and Machine Design, RWTH Aachen, 52056 Aachen, Germany^2

Department for Wind Power Drives, RWTH Aachen University, 52056 Aachen, Germany^3

关键词: Model predictive controllers;    Multibody simulations;    Multiple input multiple output controllers;    Number of degrees of freedom;    Online optimization;    Planetary gearboxes;    Simulation framework;    Wind turbine simulation;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/524/1/012047/pdf
DOI  :  10.1088/1742-6596/524/1/012047

来源: IOP

【 摘 要 】

Wind turbines (WT) are steadily growing in size to increase their power production, which also causes increasing loads acting on the turbine's components. At the same time large structures, such as the blades and the tower get more flexible. To minimize this impact, the classical control loops for keeping the power production in an optimum state are more and more extended by load alleviation strategies. These additional control loops can be unified by a multiple-input multiple-output (MIMO) controller to achieve better balancing of tuning parameters. An example for MIMO control, which has been paid more attention to recently by wind industry, is Model Predictive Control (MPC). In a MPC framework a simplified model of the WT is used to predict its controlled outputs. Based on a user-defined cost function an online optimization calculates the optimal control sequence. Thereby MPC can intrinsically incorporate constraints e.g. of actuators. Turbine models used for calculation within the MPC are typically simplified. For testing and verification usually multi body simulations, such as FAST, BLADED or FLEX5 are used to model system dynamics, but they are still limited in the number of degrees of freedom (DOF). Detailed information about load distribution (e.g. inside the gearbox) cannot be provided by such models. In this paper a Model Predictive Controller is presented and tested in a co-simulation with SlMPACK, a multi body system (MBS) simulation framework used for detailed load analysis. The analysis are performed on the basis of the IME6.0 MBS WT model, described in this paper. It is based on the rotor of the NREL 5MW WT and consists of a detailed representation of the drive train. This takes into account a flexible main shaft and its main bearings with a planetary gearbox, where all components are modelled flexible, as well as a supporting flexible main frame. The wind loads are simulated using the NREL AERODYN v13 code which has been implemented as a routine to SlMPACK. This modeling approach allows to investigate the nonlinear behavior of wind loads and nonlinear drive train dynamics. Thereby the MPC's impact on specific loads and effects not covered by standard simulation tools can be assessed and investigated. Keywords. wind turbine simulation, model predictive control, multi body simulation, MIMO, load alleviation