基于机械-电气-液压联合模拟的多操纵器的合作主动干扰排斥运动控制
Yuming Cui1, Mgari Kuda Keith1, Jiajun Pu1
1School of Mechatronic Engineering, Jiangsu Normal University, Xuzhou 221116, China.
ISA transactions
|September 10, 2025
概括
本研究介绍了多臂岩石钻探机器人的新型无碰撞路径规划和运动控制系统,提高了道施工的精度和效率.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 机械工程 机械工程
- 道技术 道技术
背景情况:
- 岩石钻探机器人在道等极端环境中面临挑战,包括冲击负荷和运动控制振动.
- 多臂系统的协调操作需要先进的路径规划和精确的运动控制.
研究的目的:
- 为多臂岩石钻探机器人开发一个强大的无碰撞路径规划和主动干扰排斥运动控制系统.
- 为了提高道中岩石钻井操作的准确性,稳定性和自动化.
主要方法:
- 提出了一种无碰撞路径规划方法,结合了改进的遗传算法 (IGA) 和改进的人工潜力场方法.
- 为多度自由度 (DOF) 机器人手臂设计了一个主动干扰拒绝运动控制.
- 开发了一种用于系统分析的机械-电-液压联合模拟模型.
主要成果:
- 优化了用于协调钻井操作的路径规划,尽量减少移动距离.
- 实现了对重型机器人手臂的精确和稳定的控制.
- 模拟和实验结果显示,关节角度和位移误差在1.5%以内,最大定位误差为9.56mm和7.32mm.
结论:
- 拟议的方法和系统对于多臂岩石钻探机器人来说是可行的和有效的.
- 在道岩石钻井的施工效率和自动化水平上得到了显著的改进.
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