Reliable and Robust Optimization of the Planetary Gear Train Using Particle Swarm Optimization and Monte Carlo Simulation

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Abderazzak Ziat ◽  
Hamid Zaghar ◽  
Abdelmajid Ait Taleb ◽  
Mohammed Sallaou
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Particle Swarm Optimization ◽  
Robust Optimization ◽  
Particle Swarm ◽  
Planetary Gear ◽  
Gear Train ◽  
Swarm Optimization ◽  
Planetary Gear Train

scholarly journals Monte Carlo localization algorithm based on particle swarm optimization

Automatika ◽  
2019 ◽  
Vol 60 (4) ◽  
pp. 451-461 ◽  
Author(s):  
Cuiran Li ◽  
Jianli Xie ◽  
Wei Wu ◽  
Haoshan Tian ◽  
Yingxin Liang
Keyword(s):  
Monte Carlo ◽  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Localization Algorithm ◽  
Swarm Optimization ◽  
Monte Carlo Localization

Optimization Design of Gear Train Based on Particle Swarm Optimization Algorithm

2013 ◽  
Vol 373-375 ◽  
pp. 1072-1075 ◽  
Author(s):  
Chang Wei Wu ◽  
Yong Hai Wu ◽  
Cong Bin Ma ◽  
Cheng Wang
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Optimization Design ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Function Optimization ◽  
Gear Train ◽  
Multidimensional Space ◽  
Swarm Optimization ◽  
Tooth Width

Particle swarm optimization algorithms have lots of advantages such as fast convergence speed, good quality of solution and robustness in multidimensional space function optimization and dynamic target optimization. It is suitable for structural optimization design. In this paper, manual transmission gear train of a tractor is taken as research object, the minimum quality and minimum center distance of the gear train is taken as optimization goal, the gear ratio, modulus, helix angle, tooth width and equilibrium conditions of the axial force are taken as the constraints, a multi-objective optimization model of the gear train is established. The optimal structure design programs and Pareto optimal solution are obtained by using particle swarm optimization algorithm.

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