对于具有输入信号定量化的多个单链灵活操纵器的共识跟踪和振动控制
Le Li1, Jinkun Liu1
1School of Automation Science and Electrical Engineering, Beihang University, Xueyuan Road No. 37, Haidian District, Beijing, 100191, China.
ISA transactions
|September 2, 2023
概括
这项研究引入了灵活操纵器的自适应控制,实现共识跟踪和消除振动,尽管输入信号量化. 新的边界控制确保了系统稳定性,而不需要量子化器参数.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制理论 控制理论
- 应用数学 应用数学 应用数学
背景情况:
- 具有灵活操纵器的多代理系统在精确控制方面存在挑战,原因是固有的灵活性和外部干扰.
- 控制系统中的输入信号量化可能会降低性能和稳定性,需要强大的补偿策略.
研究的目的:
- 开发一个分布式自适应边界控制协议,用于共识跟踪和由单链灵活操纵器组成的多代理系统的振动控制.
- 解决输入信号量化对系统性能和稳定性的影响.
主要方法:
- 使用第四阶部分微分方程 (PDEs) 建模每个灵活的操纵器.
- 采用对数定量器来控制输入,并设计适应性定律来抵消定量化效应.
- 提出了一个分布式自适应边界控制协议,不需要对量子仪参数的知识.
主要成果:
- 拟议的控制协议确保所有操纵器实现所需的角度位置跟踪和消除振动.
- 闭环系统的均边界稳定性已被数学证明.
- 模拟显示了控制策略在各种场景中的有效性.
结论:
- 开发的分布式自适应边界控制是有效的共识跟踪和振动控制量化灵活的操纵器系统.
- 该策略提供了针对输入信号量子化的稳定性,而无需先前了解量子器参数.
- 这项研究有助于复杂机器人系统的控制方法的进步.
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