在协作机器人的能源消耗分析和优化
Sofia Miranda1, Carlos Renato Vázquez2, Manuel Navarro-Gutiérrez2
1Departamento de Transformación Digital, Aumovio, Tlajomulco de Zuñiga, Mexico.
Frontiers in robotics and AI
|November 17, 2025
概括
本研究分析了UR10协作机器人.
科学领域:
- 工业自动化 工业自动化
- 机器人工程 机器人工程 机器人工程
- 能源管理 能源管理
背景情况:
- 工业设施面临着重要的能源消耗挑战.
- 峰值电力需求对于电力基础设施的设计和管理至关重要.
- 像UR10这样的协作机器人提供灵活的自动化解决方案.
研究的目的:
- 调查UR10协作机器人的功率和能耗.
- 分析轨迹参数对能源使用和峰值功率的影响.
- 开发机器人能耗和峰值功率的预测模型.
主要方法:
- 进行实验,从UR10机器人API收集电流消耗数据.
- 分析了轨迹编程参数 (速度,加速度) 和能量指标之间的关系.
- 开发了人工神经网络模型来预测功率峰值和总能耗.
- 采用遗传优化算法,在功率限制范围内找到最佳机器人参数.
主要成果:
- 提高速度和加速度限制可以减少每条轨迹消耗的总能量.
- 较高的速度和加速度限制导致功率峰值增加.
- 在最小化能源消耗和管理峰值功率之间存在一种权衡.
- 预测模型准确估计了机器人的能耗和峰值功率.
结论:
- 机器人轨迹编程显著影响能源效率和峰值电力需求.
- 优化的参数可以实现高效的机器人性能,同时尊重功率限制.
- 人工智能和优化算法是能源意识机器人控制的宝贵工具.
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