Tracking control for two-wheeled mobile robots via event-triggered mechanism

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2025-01-01 DOI:10.1016/j.isatra.2024.11.032
Chao Wang , Peng Shi , Imre Rudas
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Abstract

In this paper, we investigate the event-based tracking control for two-wheeled mobile robots using a sliding mode control strategy. To address the conflict between the singularity problem and finite-time performance, a new nonsingular terminal sliding mode controller enabling mobile robots to achieve the tracking goal through a wireless network is developed. Further, redesign the controller using sampling information, in which an event condition is introduced to determine the sampling sequence, and the event-triggered controller avoids the high gain situation through the proposed sliding variables. The Zeno phenomenon for event condition is excluded by proofing the existence of minimal positive interevent execution time. Finally, an experiment has been implemented on a remote computer transmitting control signals to a mobile robot, demonstrating the effectiveness and applicability of the designed controller.
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基于事件触发机制的两轮移动机器人跟踪控制。
本文采用滑模控制策略研究了基于事件的两轮移动机器人跟踪控制。为解决奇异性问题与有限时间性能之间的冲突,设计了一种新的非奇异终端滑模控制器,使移动机器人能够通过无线网络实现跟踪目标。进一步,利用采样信息对控制器进行了重新设计,引入事件条件来确定采样序列,事件触发控制器通过所提出的滑动变量避免了高增益的情况。通过证明存在最小正的事件间执行时间,排除了事件条件的芝诺现象。最后,在远程计算机上对移动机器人进行了控制信号传输实验,验证了所设计控制器的有效性和适用性。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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