带输出约束的轴向运动带系统的事件触发振动控制

IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Yukan Zheng;Xiangqian Yao;Yu Liu
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引用次数: 0

摘要

研究了轴向运动带在输出约束、系统参数未知、高加减速(H-A/D)条件下的事件触发渐近镇定问题。与现有的事件触发控制(ETC)方案只能获得有界镇定不同,本文实现了自适应事件触发渐近镇定控制。为此,提出了一种新的切势垒Lyapunov函数(BLF)方法,以保证状态满足相应的时变约束条件。然后利用自适应补偿技术解决系统参数未知的问题。考虑到通信信道的资源约束和计算负担,提出了一种新的ETC策略来解决通信负荷,优化系统性能。此外,还可以通过开发的边界等实现渐近镇定控制。最后给出了仿真结果,验证了所设计的边界控制算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Event-Triggered Vibration Control of an Axially Moving Belt System With Output Constraint
This article explores the event-triggered asymptotic stabilization problem of an axially moving belt in the presence of output constraint, unknown system parameters, and high acceleration/deceleration (H-A/D). Instead of existing event-triggered control (ETC) schemes where only bounded stabilization can be obtained, adaptive event-triggered asymptotic stabilization control can be achieved in this article. For this, a new tangent barrier Lyapunov function (BLF) method is developed to ensure that the state satisfies its corresponding time-varying constraint conditions. Then, the unknown system parameter problems can be resolved by using the adaptive compensation technique. Considering the resource constraint of the communication channel and computation burden, a new ETC strategy is advanced to tackle the communication load and optimize system performance. Moreover, the asymptotic stabilization control can be realized through the developed boundary ETC. Lastly, simulation results are displayed to verify the designed boundary control algorithms.
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来源期刊
IEEE Transactions on Systems Man Cybernetics-Systems
IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS
CiteScore
18.50
自引率
11.50%
发文量
812
审稿时长
6 months
期刊介绍: The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.
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