Analysis and multiobjective design optimization of planetary gear train

Abstract

The purpose of this paper is to present the method for solving multiobjective nonlinear optimization of planetary gear trains. Optimization of gear train was successfully accomplished using the genetic algorithm (GA). The weighting method is used to approximate the Pareto set. This method transforms the multiobjective optimization problem into single-objective optimization problem by associating each objective function a weighting coefficient and then minimizing the weighted sum of the objectives. The GA based approach produced quite satisfactory results promptly supplying the designer with the preliminary design parameters of planetary gear train for different gear ratios. The results showed that the genetic algorithm is useful and applicable for optimization of planetary gears desgin.