Data-Driven and Model-Based Control Techniques for a Wind Turbine Benchmark Model

Abstract: Wind turbine plants are complex dynamic and uncertain processes driven by stochastic inputs disturbances, as well different loads represented gyroscopic, centrifugal, gravitational forces. Moreover, their aerodynamic models nonlinear, both modelling control become challenging problems. On one hand, high–fidelity simulators should contain parameters variables in order to accurately describe the main system behaviour. Therefore, development of for wind systems consider these complexity aspects. other solutions have include characteristics without becoming too complicated. The point this paper is thus provide two practical examples robust strategies when applied a simulated plant. Extended simulations with benchhmark model Monte–Carlo tool represent instruments assessing robustness reliability aspects developed methodologies model–reality mismatch measurement errors also considered. Advantages drawbacks regulation methods highlighted respect via proper performance metrics.