Scheduled Model Predictive Control of a wind Turbine

Abstract

Through high order aeroelastic simulations in turbulent wind, it has been shown that a Scheduled Model Predictive Controller (SMPC) can successfully control a wind turbine in above rated wind conditions. The SMPC shows the ability to control Multi-Input MultiOutput systems with multiple control objectives, allow for system input constraints and also adjust to the aerodynamic nonlinearities of the turbine system. The implementation of the SMPC is also only as complex as implementing a Linear Model Predictive Controller (LMPC) but provides the benefits of being able to control nonlinear systems with higher performance. Furthermore it has been shown that by using a SMPC the user has the ability to finely tune each controller the SMPC is comprised of giving more tailored performance to various operating regions.