一种基于复合力-位置模糊控制的机器人浮动研磨和除方法
Tao Li1, Qun Sun1, Chong Wang1
1School of Mechanical and Automotive Engineering, Liaocheng Univesity, Liaocheng 252000, China.
Sensors (Basel, Switzerland)
|April 12, 2025
概括
本研究介绍了一种自适应机器人研磨系统,用于大型设备的高效除. 新的模糊控制方法实现了99.73%的除率,具有高精度和环境效益.
科学领域:
- 机器人和自动化 机器人和自动化
- 材料科学 材料科学 材料科学
- 控制系统工程 控制系统工程
背景情况:
- 从火车和船只等大型结构中去除是具有挑战性的.
- 现有的方法 (化学,火焰,激光,喷砂,喷水) 有显著的缺点,包括高能耗,污染,成本和复杂性.
- 目前的机器人系统缺乏适应能力,无法在复杂的表面上进行强大的生清除.
研究的目的:
- 开发一个可适应和强大的自动化系统,以有效地去除大型设备的生.
- 克服传统和现有的机器人除技术的局限性.
- 为了提高精度,效率和环境友好性,自动化除.
主要方法:
- 提出了使用复合力位置模糊控制的浮动研磨执行器方案.
- 实施简化路径点规划,消除了对工件几何学的预测的需要.
- 集成的力和激光位移传感器用于实时偏差补偿和适应复杂表面.
- 采用模糊衍生引领的PID算法,用于自适应性研磨力控制和增强精度.
主要成果:
- 该系统在没有先前的几何数据的情况下实现了连续研磨和除.
- 与传统的PID控制相比,模糊衍生引领的PID控制显著减少了研磨力和平均误差波动.
- 在40mm/s的进步速度下,实现了99.73%的异常生去除率.
- 在复杂的表面上表现出卓越的控制性能和适应性.
结论:
- 拟议的浮式研磨执行器具有模糊控制,提供了一种高效,环保,高精度的自动化解决方案,用于除.
- 这种方法显著改进了现有的大型设备维护方法.
- 该系统的适应性和强大的控制可确保即使在具有挑战性的表面上,也能有效地去除生.
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