驼-圆轮组合蔬菜曲面标签机制的优化设计和实验
Lei Zhang1,2, Heng Zhou1, Jianneng Chen1,2
1School of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China.
Frontiers in robotics and AI
|December 30, 2024
概括
一种具有改进的低环形轨迹的新型形轮机制有效地在曲的表面上使用长标签标记蔬菜,减少纹和脱落. 这种优化的设计提高了运动性能和标签准确性.
科学领域:
- 农业工程 农业工程
- 机械工程 机械工程
- 机器人技术 机器人技术 机器人技术
背景情况:
- 在曲的蔬菜表面上贴上长标签会带来诸如纹和脱落等挑战.
- 现有的机制往往缺乏用于无缺陷应用所需的精度.
研究的目的:
- 开发和优化一种新的标签机制,用于在曲面上长标签的蔬菜.
- 为了提高标签准确性和减少标签损坏.
主要方法:
- 设计了一种驼圆轮组合标记机制,并改进了低环形轨迹.
- 使用NSGA-II算法进行了动态建模和多目标优化.
- 参数选择使用权TOPSIS方法进行二次优化进行了改进.
主要成果:
- 优化的机制显示最大速度降低 (7%) 和加速配置文件改进 (最大2%,最小18%).
- 标签准确度明显提高,距离误差从1.3毫米减少到0.12毫米.
- 标记和定位速度从0.10770 m/s降低到0.0037 m/s.
结论:
- 拟议的机制有效地解决了用长标签标记曲表面的挑战.
- 优化显著提高了运动性能和标签精度.
- 这项研究为设计先进的蔬菜标签系统提供了理论基础.
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