Adaptive data-driven design of fault-tolerant control systems with unknown dynamics

IF 3.3 2区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Journal of Process Control Pub Date : 2025-02-01 DOI:10.1016/j.jprocont.2024.103370

Wenli Chen , Xiaojian Li

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Abstract

This paper investigates the adaptive data-driven design issue for fault-tolerant control systems with unknown dynamics. Initially, the fault-tolerant control problem is transformed into a stabilization problem for switched systems, where both the switching signal and system dynamics are unknown due to the uncertainties in fault occurrence instants and faulty modes. While extensive research has been conducted on switched systems, the strategies for addressing unknown switching signals remain comparatively scarce, especially when system dynamics are also unknown. To tackle this issue, a Lyapunov function-based monitoring scheme is provided to determine the time instants of switching in system dynamics during operation. Subsequently, a data-driven adaptive learning control mechanism is introduced to update feedback gains. Considering the asynchronous issue between the switching of the controller and system dynamics due to the learning process, sufficient conditions concerning the switching frequency of the system dynamics are provided. Thereby, a data-driven adaptive learning fault-tolerant control algorithm is proposed. Under the frequency constraint on the switching of system dynamics, it is shown that the offered control scheme maintains the closed-loop system’s stability. Finally, two simulation examples are provided to show the effectiveness of the proposed approach.

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未知动态容错控制系统的自适应数据驱动设计

研究了动态未知的容错控制系统的自适应数据驱动设计问题。首先，将容错控制问题转化为切换系统的镇定问题，由于故障发生时刻和故障模式的不确定性，切换信号和系统动力学都是未知的。虽然对切换系统进行了广泛的研究，但处理未知切换信号的策略仍然相对较少，特别是在系统动力学未知的情况下。为了解决这个问题，提供了一种基于Lyapunov函数的监测方案，以确定运行期间系统动力学中的切换时间。随后，引入数据驱动的自适应学习控制机制来更新反馈增益。考虑到学习过程中控制器的切换与系统动力学之间存在异步问题，给出了系统动力学切换频率的充分条件。为此，提出了一种数据驱动的自适应学习容错控制算法。在系统动力学切换的频率约束下，所提出的控制方案保持了闭环系统的稳定性。最后，给出了两个仿真实例，验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Process Control 工程技术-工程：化工

CiteScore

7.00

自引率

11.90%

发文量

159

审稿时长

74 days

期刊介绍： This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.