Design and research of differential gear based on improved particle swarm optimization algorithm

Yunping Pan; De Jiang

doi:10.1117/12.3007312

25 October 2023 Design and research of differential gear based on improved particle swarm optimization algorithm

Yunping Pan, De Jiang

Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 1280164 (2023) https://doi.org/10.1117/12.3007312
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China

Abstract

This paper takes the differential gear of automobile as the research object, takes its volume minimum as the target function and establishes the mathematical model of differential gear. In order to ameliorate the problem that the optimization result obtained by traditional particle swarm optimization algorithm is likely to be local optimal solution, an improved particle swarm optimization algorithm is proposed by using the idea of adaptive inertia weight and simulated annealing algorithm. With the help of MATLAB software, the improved algorithm is applied to the optimization process of the differential gear. The results show that the convergence rate of the target function curve obtained by the improved particle swarm optimization algorithm is quicker and the target function result is smaller, which effectively reduces the volume of the differential gear and has important significance for the production and design of differential gear

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yunping Pan and De Jiang "Design and research of differential gear based on improved particle swarm optimization algorithm", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 1280164 (25 October 2023); https://doi.org/10.1117/12.3007312

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KEYWORDS

Particle swarm optimization

Particles

Design and modelling

Teeth

Detection and tracking algorithms

Algorithms

MATLAB

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