Development and validation of low order wind turbine blade models

Titel: Development and validation of low order wind turbine blade models
  • Masterarbeit
Status: offen


With the increase of wind turbine (WT) usage for energy generation different complexity WT models have been developed for different tasks. These models range from state of the art high fidelity aeroelastic codes including unsteady aerodynamics, hydrodynamics and structural modelling for structural load validation purposes (e.g. FAST or Bladed) to simplified one degree of freedom models (DOF) for controller design purposes.

Here in SWE a low order, 4DOF, non-linear model called SLOW (Simplified Low Order Wind turbine) has been developed for control and optimization purposes [1]. The model is being continuously updated along with a framework in Matlab for pre- and post- processing simulations with varying fidelity tools.

In the framework of joint German project ANWIND work packages, we currently focus on modelling the WT blades in SLOW. These models can be used for different purposes including wind field reconstruction based on blade root moment loads, enhancement of LIDAR control strategies and individual pitch controller design.

The focus of the present thesis would be to compare different approaches (existing and new) for low order blade modelling identifying advantages and disadvantages of different methods. The goal is to have a model as simple and fast as possible capturing the main blade dynamics for the required purposes. The different approaches will be incorporated in SLOW and validated with FAST simulations. The student will get familiar with system identification and modelling methods, different simulation tools and will develop a critical thinking for evaluating different concepts according to their application.


  • Literature study of methods and models
  • Implementation of algorithms in MATLAB
  • Validation based on DTU 10MW conceptual WT using FAST code
  • Documentation of the work and presentation


  • MATLAB programming