Kaimal spectrum based H2 optimization of tuned mass dampers for wind turbines

The closed-form analytical expression of the objective function a single degree freedom system with tuned mass damper, subjected to Gaussian white noise and Kaimal forcing spectrum, is derived implementing H 2 optimization technique. To illustrate procedure, wind turbine tower without load, has been presented. spectrum considered model effects load. Usually, parameters damper optimized by technique on even though subject any other spectrum. Obtaining an for considering real very challenging as may contain fractional order frequency. Therefore, either can be obtained numerically or form but only input address above-mentioned issue, in this paper, concept near identity introduced idealize high accuracy from which established. Further, histogram plots response reduction have made show comparison between results showed that displacement yields better performance if it according rather than vice versa.