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使用自适应滑动模式控制的6RSS并行机器人的基于位置的视觉伺服
Ningyu Zhu1, Wen-Fang Xie1, Henghua Shen1
1Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Quebec H3G 1M8, Canada.
ISA transactions
|November 4, 2024
概括
这项研究引入了基于视觉的平行机器人的控制,提高了轨迹跟踪的准确性. 适应式滑动模式控制系统有效地管理复杂的机器人动态和不确定性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统工程 控制系统工程
- 计算机视觉 计算机视觉
背景情况:
- 对平行机器人的轨迹跟踪是复杂的,因为复杂的动力学和动力学.
- 现有的控制方法往往难以实现实时准确性和适应性.
研究的目的:
- 开发一个可靠的基于位置的视觉伺服 (PBVS) 控制策略,用于一个6个革命-球形-球形 (6-RSS) 平行机器人.
- 为了提高在不确定和时间变化的条件下轨迹跟踪性能.
主要方法:
- 实施了PBVS方法,使用C-Track 780摄像度传感器进行实时端效应器姿势测量.
- 采用自适应卡尔曼波器,通过减轻噪声来提高视觉测量准确度.
- 设计了一个具有辐射基函数 (RBF) 神经网络的自适应滑动模式控制器,用于自动调节控制收益.
主要成果:
- 拟议的控制器证明了6RSS并行机器人的有效轨迹跟踪.
- 适应式卡尔曼波器提高了姿势估计的准确性.
- 基于RBF的自适应滑动模式控制显示了对系统不确定性和时间变化的条件的稳定性.
结论:
- 开发的带有自适应滑动模式控制的PBVS策略为并行机器人轨迹跟踪提供了卓越的解决方案.
- 实验验证证了拟议的控制系统的有效性和稳定性.
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