双臂操纵器在不确定性条件下的内部/外部力量跟踪的两级可变阻抗控制
Yufei Zhou1, Zhongcan Li1, Jingkai Cui1
1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
ISA transactions
|September 4, 2025
概括
这项研究介绍了双臂操纵器的两级自适应式可变阻抗控制,改善了力追踪和系统稳定性. 在复杂的环境中,新型的力反可变阻抗控制器 (FFVIC) 的性能优于传统的方法.
科学领域:
- 机器人和控制系统
- 机电学
- 人工智能
背景情况:
- 对于先进的机器人应用来说,协调的双臂操作至关重要,但由于干扰和系统不确定性,精确的力量控制仍然具有挑战性.
- 现有的控制方法在复杂的合作任务中与内部和外部力量调节作斗争.
研究的目的:
- 开发和验证一个强大的两级自适应式可变阻抗控制系统,用于双臂操纵器的精确内部和外部力量跟踪.
- 在不确定的环境中增强操纵器的灵活性,合规性和干扰拒绝能力.
主要方法:
- 实现一个双层自适应变阻控制架构.
- 对象级混合阻抗控制器的设计,用于自适应性轨迹调整.
- 开发一个操纵器级反力可变阻抗控制器 (FFVIC) 具有自适应式减压系数调整.
主要成果:
- 拟议的控制方案成功地调节了双臂操纵系统中的内部和外部力量.
- 与传统阻抗控制器相比,FFVIC的实验验证实了优越的力追踪性能.
- 通过Routh稳定性标准,理论分析证实了该系统的异常稳定性.
结论:
- 两级自适应式可变阻抗控制系统有效地解决了双臂操纵器协调操作的挑战.
- FFVIC提供了增强的力量跟踪能力,使其适合要求高精度和适应性的任务.
- 这项研究证实了该方法在现实世界合作机器人场景中的优越性和稳定性.
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