开关系统的无缓冲转移控制:动态事件触发开关控制方法

IF 3.5 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics and Computation Pub Date : 2024-11-08 DOI:10.1016/j.amc.2024.129155
Donghui Wu , Ying Zhao , Mingchuan Pang , Hong Sang , Shuanghe Yu , Peng Wang
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引用次数: 0

摘要

本文研究了具有事件触发(ET)控制输入的开关系统的无缓冲转移(BT)控制问题。目的是减少控制输入在切换点和触发点的跳变,同时保证切换系统的稳定性。首先,根据抑制输入信号跳变的程度构建动态 ET 程序的触发条件。这不仅减少了触发点上的输入跳变,还防止了在子系统运行时间间隔内触发引起的芝诺行为。其次,设计了与状态相关的采样开关信号,以确保子系统的停留时间,防止开关引起的禅诺现象。此外,还设计了一种可减轻跳跃的开关式 ET 控制器。第三,获得了开关系统同时达到稳定和 BT 的条件。最后,通过对发动机模型的仿真证明了理论结果的有效性。
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Bumpless transfer control of switched systems: A dynamic event-triggering switching control approach
This paper studies the bumpless transfer (BT) control issue for switched systems with event-triggered (ET) control input. The aim is to reduce the jumps in control input at both switching and triggering points, while capturing the stability of the switched systems. First, a dynamic ET program is constructed with the triggering condition based on the level of suppression of input signal jumps. This not only reduces input jumps at triggering points, but also prevents Zeno behavior caused by triggering within the operation time interval of subsystems. Second, a sampled state-dependent switching signal is designed to ensure a dwell time for subsystems to prevent Zeno phenomenon induced by switching. Further, a switched ET controller with alleviated jumps is designed. Third, conditions are obtained to simultaneously reach both stabilization and BT of switched systems. Finally, the effectiveness of the theoretical results is demonstrated through a simulation of an engine model.
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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