Optimal design and analysis of a 3.3-MW wind turbine gear train

Abstract

In this paper, we design a type of 3.3-MW wind gear train based on genetic algorithm and finite element analysis method. We first construct the basic wind gear train by using two standards NWG structure and a pair of parallel shaft gears, respectively, as the low-, middle-, and high-speed stages. Then, genetic algorithm is applied to achieve optimal parameter for the basic wind gear train. Finally, ANSYS as finite element analysis tool is employed to verify the optimized gear train. We compare the deformation and stress of the every stage original and optimized gear chain under maximum operating conditions. The analysis results show that optimized parameters can well meet the requirements of 3.3-MW wind turbine.