通过代学习方案,通过采样数据事件触发多个灵活操纵器与执行器故障的弹性共识控制
Xiaona Song1, Shuaikang Liu1, Mi Wang2
1School of Information Engineering, Henan University of Science and Technology, Luoyang, 471000, PR China.
ISA transactions
|December 30, 2025
概括
本研究引入了多个灵活操纵器的弹性共识跟踪控制,解决执行器故障. 拟议的事件触发方法增强了控制,减少了通信,在模拟中证明有效.
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
- 应用数学 应用数学 应用数学
背景情况:
- 灵活的操纵器在控制方面存在挑战,因为它们的无限维度性质和振动.
- 执行器故障可能会损害多操作器系统的性能和安全性.
- 在分布式系统中实现共识跟踪需要强大的控制策略,以处理不确定性和通信约束.
研究的目的:
- 为多个灵活的操纵器提出一个新的采样数据事件触发的弹性共识跟踪控制方案.
- 为了解决这些系统中执行器故障的问题.
- 为了减少通信负载,同时确保有效的控制和抑制振动.
主要方法:
- 设计一个有限时间观察器用于虚拟领导状态估计.
- 周期性干扰估计的代学习方法.
- 将采样数据事件触发机制集成到弹性共识控制框架中.
主要成果:
- 拟议的控制方案实现了多个灵活操纵器的共识跟踪.
- 证明了有效的压制振动.
- 与传统方法相比,事件触发机制显著降低了通信消耗.
结论:
- 开发的控制策略确保了强大的共识跟踪和在执行器故障的情况下抑制振动.
- 采样数据事件触发方法为通信有限的多操纵器系统提供了有效的解决方案.
- 模拟结果验证了拟议的控制方案的有效性和实用性.
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