Hysteresis curve model of precision reducers in robots and its application in lost motion evaluation

A precision reducer is the core component in an industrial robot and its performance largely determines the performance of the whole robot. Lost motion is the key index to characterize the performance of precision reducers and its measurement and evaluation are the basis for improving the performance of precision reducers. However, some problems in the lost motion measurement still remain to be solved, such as the large error introduced by curve fitting. In this paper, aiming at the disadvantages of traditional measurement scheme, the measurement scheme of lost motion is optimized. A closed hysteresis curve can be obtained by single loading-unloading cycle. The hysteresis curve model of a precision reducer is established based on the consideration of the coupling effect of nonlinear stiffness and friction. Based on the established hysteresis curve model, the evaluation method of lost motion is proposed and named median curve method. Compared with the traditional evaluation method, this method essentially reflects the change rule of hysteresis curve and can improve the measurement accuracy. Taking the RV reducer as an example, the measurement experiment was carried out. The measured results were consistent with the sample index, verifying the applicability of the measurement scheme and evaluation method.

Authors

Institutions

Publication Details

Journal
Measurement Sensors
Published
2025-02-19
DOI
https://doi.org/10.1016/j.measen.2025.101848
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hysteresis curve model of precision reducers in robots and its application in lost motion evaluation

Wentao Yu, Xinzhou Qiao, Youhua Li, Hang Xu et al.
1 citations
Measurement Sensors
Iterative Learning Control Systems
1.21
article

Hysteresis curve model of precision reducers in robots and its application in lost motion evaluation

Wentao Yu, Xinzhou Qiao, Youhua Li, Hang Xu, Shufeng Yang, Zhaoyao Shi
article en
1 citations

Abstract

A precision reducer is the core component in an industrial robot and its performance largely determines the performance of the whole robot. Lost motion is the key index to characterize the performance of precision reducers and its measurement and evaluation are the basis for improving the performance of precision reducers. However, some problems in the lost motion measurement still remain to be solved, such as the large error introduced by curve fitting. In this paper, aiming at the disadvantages of traditional measurement scheme, the measurement scheme of lost motion is optimized. A closed hysteresis curve can be obtained by single loading-unloading cycle. The hysteresis curve model of a precision reducer is established based on the consideration of the coupling effect of nonlinear stiffness and friction. Based on the established hysteresis curve model, the evaluation method of lost motion is proposed and named median curve method. Compared with the traditional evaluation method, this method essentially reflects the change rule of hysteresis curve and can improve the measurement accuracy. Taking the RV reducer as an example, the measurement experiment was carried out. The measured results were consistent with the sample index, verifying the applicability of the measurement scheme and evaluation method.

Measurement SensorsVol. 38
Zhongyuan University of Technology (CN), Beijing University of Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 25%
Iterative Learning Control Systems
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.