多体系统
非线性系统
刚度
谐波平衡
谐波
谐波传动
建模与仿真
控制理论(社会学)
计算机科学
工程类
结构工程
机械工程
模拟
物理
声学
经典力学
控制(管理)
量子力学
人工智能
作者
Joonho Lee,Seok Hee Han,Jonghyeon Sohn,Byung-Kil Han,Joo-Hong Lee,Dong Il Park,Jin‐Gyun Kim
出处
期刊:IEEE-ASME Transactions on Mechatronics
[Institute of Electrical and Electronics Engineers]
日期:2023-02-01
卷期号:28 (1): 60-70
被引量:3
标识
DOI:10.1109/tmech.2022.3199808
摘要
Predicting the nonlinear torsional stiffness of harmonic drives is important not only for system control but also for the further development of the drive. However, it is difficult to predict the torsional stiffness because of the elastic deformation of the flexspline and the many contacts involved. Furthermore, nonlinear dynamic contact simulations between the elastic components of the harmonic drive are disadvantaged by high computational burden and convergence problems. To address these challenges, we establish a flexible multibody modeling process using augmented formulations of a floating reference frame to simulate the operation of the harmonic drive. The elastic deformation of the flexspline and the dynamic contacts between the main components are considered in the reproduction of the contact mechanism of the drive. Coordinate reduction techniques are used to properly replicate an elastic shaft, enabling the effective simulation of flexible multibody dynamics, including nonlinear elastic tooth contact analysis. The performance of the proposed modeling process is evaluated using catalog and experimental data on two types of standard harmonic drives (SHG-25-100-UH and SHG-40-100-UH). The hysteresis curve is predicted through flexible multibody dynamics simulation and the accuracy of parameters of torsional stiffness is approximately 91.7% on average. The proposed modeling method can be improved to predict other measures of performance and it remains a potential research topic.
科研通智能强力驱动
Strongly Powered by AbleSci AI