Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network

Xia Yuan; Xiaohua Hao; Xuewen Song; Jianli Zhang; Gang An

doi:10.16578/j.issn.1004.2539.2021.03.023

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Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network

Test·Analysis | 更新时间：2022-11-10

- Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network
- Journal of Mechanical Transmission Vol. 45, Issue 3, Pages: 140-146(2021)
- 作者机构：
  
  1.中北大学机械工程学院，山西太原 030051
  2.中国辐射防护研究院环境工程技术研究所，山西太原 030051
  3.陆军装备部北京地区军事代表局驻秦皇岛地区军事代表室，河北秦皇岛 066000
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2021.03.023
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原霞,郝晓华,宋学文等.基于RBF神经网络的并联行星齿轮动态啮合力分析[J].机械传动,2021,45(03):140-146.

Yuan Xia,Hao Xiaohua,Song Xuewen,et al.Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network[J].Journal of Mechanical Transmission,2021,45(03):140-146.
原霞,郝晓华,宋学文等.基于RBF神经网络的并联行星齿轮动态啮合力分析[J].机械传动,2021,45(03):140-146. DOI： 10.16578/j.issn.1004.2539.2021.03.023.

Yuan Xia,Hao Xiaohua,Song Xuewen,et al.Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network[J].Journal of Mechanical Transmission,2021,45(03):140-146. DOI： 10.16578/j.issn.1004.2539.2021.03.023.

摘要

双电机混动车辆通过并联行星齿轮机构分配两侧动力，两排行星齿轮的啮合力相互影响，导致动载系数增大，振动激励增大。运用谐波分析法求得多个工况下啮合力频率比，以此建立RBF神经网络模型。对一定工况范围的啮合力进行网格化预测。对预测结果计算最大啮合力与动载系数，得知啮合力与转速比、输出转矩比减1的差值成正比，低速侧动载系数大于高速侧且可表示为其倍数或倒数的倍数关系。为双电机混动车辆动力学研究提供了理论基础。

Abstract

The double motor hybrid vehicle distributes the power on both sides through the parallel planetary gear mechanism. The meshing force of the two rows of planetary gears affects each other， resulting in the increase of dynamic load coefficient and vibration excitation. The harmonic analysis method is used to obtain the frequency ratio of meshing force under multiple working conditions， so as to establish RBF neural network model， and a prediction of meshing force in a certain working range is carried out. The maximum meshing force and dynamic load coefficient are calculated on the prediction results， and the meshing force is proportional to the difference between speed ratio and output torque ratio minus 1， and the dynamic load coefficient on the low-speed side is greater than that on the high-speed side， which can be expressed as a multiple or reciprocal multiple relationship. It provides a theoretical basis for the study of dynamics of hybrid vehicles with dual motors.

关键词

RBF神经网络并联行星齿轮频率耦合动态啮合力

Keywords

RBF neural networkParallel planetary gearFrequency couplingDynamic meshing force

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