Event-triggered fault-tolerant tracking control for multiagent systems under actuator/sensor faults

IF 6.5 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2025-01-01 Epub Date: 2024-11-19 DOI:10.1016/j.isatra.2024.11.012
Zhengyu Ye, Ziquan Yu, Bin Jiang, Yuehua Cheng
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Abstract

Sensor faults can contaminate system measurements such that reliable estimation cannot be achieved and further cause abnormalities in multiagent systems (MASs). Addressing this problem, this study develops an event-triggered fault-tolerant tracking control (FTTC) protocol. The descriptor approach is first used to construct extended states and eliminate sensor faults from the measurement equation. A sliding-mode observer is then tailored based on the transformed system to realize state estimation and fault diagnosis (FD) simultaneously. Subsequently, an event-triggered distributed estimator is developed to isolate the uncertainty’s influence and reduce communication overhead while estimating the leader’s state. By incorporating the estimator and observer outputs, an FTTC protocol is developed to ensure stability under actuator/sensor faults. Finally, the investigated FTTC method is validated with a numerical simulation of multiple quadrotors.
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执行器/传感器故障下多智能体系统的事件触发容错跟踪控制。
传感器故障可能会污染系统测量结果,从而无法实现可靠的估计,并进一步导致多智能体系统(MASs)的异常。针对这一问题,本研究开发了一种事件触发容错跟踪控制(FTTC)协议。首先利用描述子方法构造扩展状态,并从测量方程中消除传感器故障。然后根据变换后的系统定制滑模观测器,同时实现状态估计和故障诊断。随后,开发了一种事件触发分布式估计器,以隔离不确定性的影响,减少在估计领导者状态时的通信开销。通过结合估计器和观测器输出,开发了FTTC协议,以确保执行器/传感器故障下的稳定性。最后,通过多四旋翼的数值仿真验证了所研究的FTTC方法。
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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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