GENETIC OPTIMIZATION OF TOWER VIBRATIONS WITH PENDULUM TMD
Gino Bertollucci Colherinhas1; Marcus Vinicius Girão de Morais1; Maura Angelica Milfont Shzu1; Suzana Moreira Avila1
1 University of Brasília
doi:10.20906/CPS/CILAMCE2015-0831
Resumo
The wind turbine is supported by towers, which are slender and flexible due to their geometry and great height. As a consequence, they may experience excessive vibration levels caused by both the operation of the turbine and the wind loads. One common passive control device to solve this problem is the Tuned Mass Damper (TMD). Briefly, it is a pendulum-damper which transfers the energy of the vibration from the main structure to itself, working as a passive device. These passive devices need to be finely tuned to work as dampers; otherwise, they could amplify structural vibration levels. In this paper we propose to optimize the vibration performance of a pendulum TMD applying a Genetic Algorithm (GA) MATLAB toolbox (Colherinhas et al., 2015) in the modeling of the main structure and the TMD via finite element method calling the resources and capabilities of the software ANSYS (A´vila et al., 2015). We restrict the mass, and length of the pendulum to minimize high peaks of the vibration frequencies. Then we compared the finite element optimization using ANSYS with an analytic 2-DOF optimization.
Palavras-chave: Wind Turbine; Tuned Mass Damper; Algorithm Optimization; Structural Control