在轮机叶片机器人研磨系统中的模型预测运动/力控制
Ziling Wang1, Lai Zou1, Jiantao Li1
1State Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing University, Chongqing 400044, China.
ISA transactions
|April 30, 2025
概括
本研究介绍了一种模型预测运动/力控制 (MPMFC) 算法,以提高机器人研磨精度. MPMFC算法增强了对机器人轨迹和接触力的控制,从而为复杂的零件提供了卓越的研磨质量.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 制造业 工程 制造工程
- 控制系统 控制系统
背景情况:
- 机器人研磨系统由于非线性动力学和低运动精度而遭受不稳定的接触力和位置错误.
- 这些问题显著降低了研磨质量,特别是对于像轮机叶片这样的复杂曲线工件.
研究的目的:
- 提出一个模型预测运动/力控制 (MPMFC) 算法,用于精确控制机器人轨迹和接触力在研磨应用中.
- 通过解决不稳定的接触力和位置错误,提高复杂曲线工件的研磨质量.
主要方法:
- 实施了在线轨迹插值方法,以在控制周期内获取理想的终端效应器轨迹信息.
- 开发了一个使用最佳控制的MPMFC系统,包括用于接触力预测的入口模型和用于运动预测的机器人动力学模型.
主要成果:
- 在模拟和实验中,MPMFC算法表现出卓越的性能.
- 在轮叶片跟踪过程中,实现了 1.934 N 的力控制精度和 0.132 mm 的位置控制精度.
- 与传统方法相比,强力控制和位置控制的改进超过38%和37%.
结论:
- 拟议的MPMFC算法有效地解决了机器人研磨方面的挑战,特别是复杂几何形状.
- 该算法显著提高了力和位置控制的准确性,从而提高了研磨质量.
- MPMFC代表了精确机器人研磨操作的重大进步.
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