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具有模型不确定性和干扰的多机器人光纤放置系统的自适应有限时间同步控制
Ronghua Zhang1, Yaonan Wang1, Wenfang Xie2
1College of Electrical and Information Engineering, Hunan University, Changsha, 410082, Hunan, China; National Engineering Laboratory of Robot Visual Perception and Control Technology, Hunan University, Changsha, 410082, Hunan, China.
ISA transactions
|June 3, 2025
概括
本研究介绍了多机器人光纤放置系统 (MRFPS) 的自适应有限时间同步控制 (AFSC) 算法. 这种新的方法确保了精确的机器人同步,这对于制造复合材料组件至关重要.
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
- 材料科学 材料科学 材料科学
背景情况:
- 多机器人纤维放置系统 (MRFPS) 对于先进的复合材料组件制造至关重要.
- 精确的机器人同步对于MRFPS性能至关重要,但由于系统复杂性和干扰而具有挑战性.
- 有限时间误差收是这些系统所需的动态特征.
研究的目的:
- 为MRFPSs开发一种新的自适应有限时间同步控制 (AFSC) 算法.
- 为了应对系统建模的挑战,干扰,并实现有限时间错误的融合.
- 为了提高多机器人纤维放置过程的性能和精度.
主要方法:
- 开发一个有限时间的滑动模式观察器来管理动力学不确定性.
- 在AFSC算法中构建了一个新的快速非单元终端滑动模式 (FNTSM) 分组.
- 整合一个适应性定律的动态不确定性和一个适应性术语的干扰排斥.
主要成果:
- 拟议的AFSC算法保证了结合,同步和跟踪错误的有限时间融合到零.
- 在处理动力学和动态不确定性方面表现出有效性.
- 成功地减轻了系统干扰的影响.
结论:
- AFSC算法为MRFPS中精确的机器人同步提供了强大的和有效的解决方案.
- 实现了有限时间的融合,提高了系统的性能和可靠性.
- 模拟和实验验证了拟议的控制策略的实际适用性和有效性.
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