Morphological Construction of Transmission Error of Precision Reducer Based on BP Neural Network

Yu, Zhiwen; Shi, Zhaoyao; Yue, Huijun; Zhang, Lintao

doi:10.1109/wcmeim56910.2022.10021542

Cited by 1 publication

(1 citation statement)

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“…16 Yu et al studied the TE morphology of precision reducers under various testing conditions and proposed a morphological construction method based on neural networks. 17 These studies demonstrate that the testing conditions affect the test results of TE.…”

Section: Introductionmentioning

confidence: 81%

Accuracy characteristics of the testing bench for dynamic transmission error

Shi,

Yu,

Cheng

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part C:

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A high-precision testing bench is required for accurately assessing the dynamic Transmission error (TE) of precision reducers. However, the relationship between the testing bench’s accuracy and deviations in testing conditions has not been determined, leading to an inaccurate evaluation of its metrological performance. In this study, we examined the accuracy characteristics of the testing bench. We analyzed the structure of the bench and identified the main error sources that affect its accuracy, including mechanical system deviation, sensor measurement deviation, and testing condition deviation. In addition, we studied the mechanism of these error sources and proposed a method to convert drive speed deviation and load torque deviation into angle deviation by using a three-dimensional characterization model of lost motion. Based on the expression of TE, we proposed an evaluation method for the accuracy of the testing bench. Furthermore, we presented the methods for calculating the error sources and proposed a method for determining the TE of adjacent units based on the specific coupling structure. Finally, we conducted practical tests to validate the effectiveness of the proposed method in evaluating the accuracy characteristics of the testing bench. We found that the relative test error between quasi-static TE and dynamic TE is small, and more accurate test results are obtained when applying an appropriate load.

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Section: Introductionmentioning

confidence: 81%