中国机械工程 ›› 2022, Vol. 33 ›› Issue (22): 2727-2732,2740.DOI: 10.3969/j.issn.1004-132X.2022.22.010

• 可持续制造 • 上一篇    下一篇

工业机器人能耗预测研究

庹军波1,2;彭秋媛2;张贤明1;李聪波3   

  1. 1.重庆工商大学废油资源化技术与装备教育部工程研究中心,重庆,400067
    2.重庆工商大学机械工程学院,重庆,400067
    3.重庆大学机械传动国家重点实验室,重庆,400044
  • 出版日期:2022-11-25 发布日期:2022-12-22
  • 作者简介:庹军波,男,1990 年生,副教授、博士。研究方向为绿色制造、机械加工系统能效。E-mail:junbotuo@ctbu.edu.cn。
  • 基金资助:
    国家自然科学基金(52005065);重庆市教育委员会科学技术研究项目(KJQN20190813);重庆市高校创新研究群体(CXQT21024)

Energy Consumption Prediction Method for Industrial Robots

TUO Junbo1,2;PENG Qiuyuan2;ZHANG Xianmin1;LI Congbo3   

  1. 1.Engineering Research Center for Waste Oil Recovery Technology and Equipment,Ministry of Education,Chongqing Technology and Business University,Chongqing,400067
    2.College of Mechanical Engineering,Chongqing Technology and Business University,Chongqing,400067
    3.State Key Lab of Mechanical Transmission,Chongqing University,Chongqing,400044
  • Online:2022-11-25 Published:2022-12-22

摘要: 针对工业机器人传统能耗预测方法存在的模型复杂、操作繁琐、测量成本高等问题,从机器人末端动作模式和运动轨迹角度出发,提出了一种基于元动作的工业机器人能耗预测方法。首先分析工业机器人静态和动态运行时的元动作和能耗特点,建立轴移动、轴转动等动态元动作的能耗描述函数及静态元动作的能耗描述函数;然后基于所建元动作库对目标过程进行元动作分解,并构建各元动作的能耗计算模型;最后结合各元动作能耗描述函数和能耗计算模型,实现工业机器人目标过程的能耗预测。应用所提方法,只需事先测试元动作功率并构建能耗描述函数,就能通过分解目标过程实现能耗预测,具有较广阔的应用前景。

关键词: 工业机器人, 能耗预测, 运动轨迹, 元动作

Abstract: Aiming at the defects of complex models, cumbersome operation and high cost of traditional energy consumption prediction methods for industrial robots, a meta-action-based energy consumption prediction method for industrial robots was proposed from the perspective of motion trajectory and action mode of end-effector. First, the meta-actions and energy consumption characteristics of static operations and dynamic operations of industrial robots were analyzed in the first place, and the energy consumption function of static meta-action and dynamic meta-action like axial motion and rotation et al, were built. Then, the motions of the target processes were disassembled based on the proposed meta-action library and the energy sonsumption calculation model of each meta-motion was built. Finally, energy consumption of industrial robots at target processes was realized by combining the energy consumption functions and calculation models. By applying the proposed method, the energy consumption prediction may be realized by disassembling operation processes as long as the energy consumption function of each meta-action was established by measuring meta-action power in advance, so the method has broad application prospects.

Key words:  , industrial robot, energy consumption prediction, motion path, meta-motion

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