Optimization design of gear transmission based on improved particle swarm optimization algorithm

WANG Chun, HAN Jia-hao, JI Qing
(College of Electrical and Mechanical Engineering, Lianyungang Technical College, Lianyungang 222000, China)

Abstract: Aiming at the problem of the multi-objective optimization design of gear transmission system, the volume and the contact ratio were taken as the objective functions, the reliability, tooth number, module and others as the constraint conditions，the mathematical model of the multi-objective optimization design was established. The contraction factor and the linear decreasing inertia weight were introduced into the basic particle swarm optimization（PSO）algorithm, the PSO algorithm with the contraction factor and linear decreasing inertia weight was obtained, the algorithm which had fast convergence speed and strong search ability was used to solve the mathematical model of the secondary helical cylindrical gear transmission system, the globally optimal solution of the key gear parameters was obtained, such as tooth number, module and helical angle. The results indicate that the volume is reduced by 39.8%, and the contact ratio is increased by 7.3%. The goals of reducing production cost and improving the stability of gear transmission are realized, the result provides a reference basis for the optimization design of gear transmission system.
Key words: improved particle swarm optimization（PSO）algorithm; multi-objective optimization design; contraction factor; gear transmission