基于复合控制和改进的SCSO机器人手臂运动控制的关键技术
1School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou, China.
PloS one
|July 22, 2025
概括
这项研究引入了先进的机器人手臂运动控制,使用复合策略和优化的沙猫群算法. 该技术确保了精确的运动,并抑制了工业自动化振动.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制工程 控制工程 控制工程
- 人工智能的人工智能
背景情况:
- 工业自动化需要智能和灵活的机器人手臂来完成精确的任务.
- 现有的机器人手臂控制方法在实现高精度运动控制方面面临挑战.
- 机器人手臂是精密制造,智能装配和医疗手术的组成部分.
研究的目的:
- 提出一个先进的机器人手臂运动控制技术.
- 为了提高机器人手臂运动的精度和灵活性.
- 为满足工业自动化中的高精度运动控制需求.
主要方法:
- 整合复合控制 (视觉指导和BP-PID) 与改进的沙猫群优化算法.
- 优化算法的增强,使用代混沌代映射和子警告机制.
- 在机器人手臂关节上对拟议的运动控制技术进行实验验证.
主要成果:
- 实验结果表明机器人手臂关节的动力学和动态特征的准确匹配.
- 拟议的技术确保了精确的关节运动轨迹.
- 在机器人手臂运动过程中有效地抑制了冲击和振动.
结论:
- 开发的机器人手臂运动控制技术提供了重要的理论和实际价值.
- 这项研究为提高工业应用中的机器人手臂性能提供了新的方法.
- 这些发现有助于推进智能和灵活的工业自动化.
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