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首页> 《中国测试》期刊 >本期导读>机器人精密减速器单工位测试流程优化方法

机器人精密减速器单工位测试流程优化方法

309    2019-06-26

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作者:林志宇1, 刘桂雄1, 汤少敏1, 李小兵2

作者单位:1. 华南理工大学机械与汽车工程学院, 广东 广州 510640;
2. 工业和信息化部第五研究所, 广东 广州 510610


关键词:精密减速器;性能测试;优化调度;路径规划


摘要:

为提高精密减速器性能测试效率,提出一种单工位测试流程优化方法。基于测试项目序列描述定义,构建测试流程网络,将流程转化为起点与终点固定的最短路径的旅行商问题(travelling salesman problem, TSP)模型进行优化求解,通过最优解改进找到最优测试路径。该方法能够通过测试项目的序列描述,发掘出不同项目之间优化合并空间,最优解改进克服一般TSP模型仅对相邻项目间优化的问题。应用结果表明,该方法对精密减速器动态测试项目进行优化,可以缩短16.17%测试时间。


Single-station test process optimization method for robot precision reducer
LIN Zhiyu1, LIU Guixiong1, TANG Shaomin1, LI Xiaobing2
1. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China;
2. CEPREI, Guangzhou 510610, China
Abstract: In order to improve the efficiency of precision reducer performance test, a single-station test process optimization method is proposed. Based on the definition of the test project sequence description, the test process network is constructed, and the process is transformed into the shortest path travelling salesman problem (TSP) model with fixed starting point and end point to optimize the solution, and the optimal test path is found through the optimal solution improvement. The method can uncover the optimized merge space between different projects through the sequence description of the test project, and the optimal solution improvement overcomes the problem that the general TSP model only optimizes between adjacent projects. The results show that the application of this method to optimize the dynamic test project of the precision reducer can shorten the test time by 16.17%.
Keywords: precision reducer;performance test;optimal scheduling;path planning
2019, 45(6):19-23  收稿日期: 2019-03-25;收到修改稿日期: 2019-04-27
基金项目: 广东省科技计划项目(2017B090914003)
作者简介: 林志宇(1996-),男,广东潮州市人,硕士研究生,专业方向为精密检测与仪器仪表
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