Robust LQ Optimal Control for Wind Turbine Power Tracking Operation

TL;DR

This paper introduces a robust LQ optimal control method for wind turbines that enhances power tracking accuracy across various operating conditions, ensuring stability and comparable mechanical wear to existing solutions.

Contribution

It presents a novel robust control approach using linear matrix inequalities with an augmented model, improving power tracking in wind turbines.

Findings

Enhanced power tracking accuracy in simulations

Maintains mechanical wear comparable to existing controllers

Ensures robust stability across operating regions

Abstract

In this paper, a robust linear quadratic optimal control approach for accurate active power tracking of wind turbines is presented. For control synthesis, linear matrix inequalities are employed using an augmented wind turbine state model with uncertain parameters. The resulting controller ensures robust stability in different operating regions. In a case study, the novel approach is compared to existing controllers from literature. Simulations indicate that the controller improves power tracking accuracy while leading to similar mechanical wear as existing approaches.