Optimization design and experiment of cam-elliptical gear combined vegetables curved surface labeling mechanism.

IF 2.9 Q2 ROBOTICS
Frontiers in Robotics and AI Pub Date : 2024-12-13 eCollection Date: 2024-01-01 DOI:10.3389/frobt.2024.1431078
Lei Zhang, Heng Zhou, Jianneng Chen, Junhua Tong, Yang Liu, Xiaowei Zhang
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引用次数: 0

Abstract

To address the problems of the labeling curved surfaces vegetable with long label, such as the label wrinkled and the easy detachment, a cam-elliptical gear combined labeling mechanism with an improved hypocycloid trajectory is proposed. Provide the process of the mechanism, and establish a kinematic model of the mechanism. In order to improve the motion performances of the cam-elliptical gear combined labeling mechanism and avoid labels damage, the NSGA-II algorithm is used to optimize the parameters of the mechanism, resulting in 80 sets of Pareto solutions. The entropy weight TOPSIS method is applied as a quadratic optimization to select an optimal solution from the 80 sets of Pareto solutions and obtain the optimized parameters of the mechanism. A comparative study is conducted with an elliptical-circular planetary gear mechanism using the hypocycloid trajectory. The results show that the improved mechanism reduces the maximum velocity by 7%, the maximum and minimum accelerations by 2% and 18%. After the quadratic optimization the distance error of the center point of suction cup and the labeling point is reduced from 1.3 mm to 0.12 mm, and the velocity during labeling and taking position is reduced from 0.10770 m s-1 to 0.0037 m s-1. The correctness of the proposed method is validated through simulation studies and experiments. This research provides a theoretical basis for the design and optimization of long label and curved surface labeling mechanism for vegetables.

凸轮-椭圆齿轮组合蔬菜曲面标记机构的优化设计与实验。
针对长标签曲面植物贴标过程中标签起皱、易脱落等问题,提出了一种具有改进的下摆线轨迹的凸轮-椭圆齿轮组合贴标机构。提供了机构的运动过程,并建立了机构的运动学模型。为了改善凸轮椭圆齿轮组合贴标机构的运动性能,避免标签损坏,采用 NSGA-II 算法对机构参数进行优化,得到 80 组帕累托解。应用熵权 TOPSIS 方法进行二次优化,从 80 组 Pareto 解中选出一个最优解,得到机构的优化参数。与使用次环形轨迹的椭圆-圆形行星齿轮机构进行了对比研究。结果表明,改进后的机构最大速度降低了 7%,最大和最小加速度分别降低了 2% 和 18%。经过二次优化后,吸盘中心点与贴标点的距离误差从 1.3 mm 减小到 0.12 mm,贴标和定位时的速度从 0.10770 m s-1 减小到 0.0037 m s-1。通过模拟研究和实验验证了所提方法的正确性。这项研究为蔬菜长标签和曲面贴标机制的设计和优化提供了理论依据。
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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
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