An integrated performance degradation detection and recovery scheme incorporating 2-DOF controllers for feedback control systems

IF 3.9 2区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Journal of Process Control Pub Date : 2025-08-05 DOI:10.1016/j.jprocont.2025.103510

Jingjing Gao , Xu Yang , Linlin Li , Steven X. Ding , Jian Huang , Kaixiang Peng

引用次数: 0

Abstract

This paper investigates an integrated performance degradation detection and recovery (PDDR) scheme for feedback control systems. In this context, offline and online data-driven realization of stable image representation (SIR) in a feedback control loop are derived first. Building on this foundation, online data-driven computation of the gap metric is addressed, and associated with it, a real-time performance degradation detection method is proposed. It is followed by the data-driven configuration of a two-degrees-of-freedom (2-DOF) controller including an observer-based state feedback controller and an image subspace predictive feed-forward controller for system performance degradation recovery. The effectiveness of the proposed performance degradation detection and recovery scheme is validated through an experimental case study on a laboratory three-tank system.

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针对反馈控制系统，提出了一种集成二自由度控制器的性能退化检测与恢复方案

研究了一种反馈控制系统的综合性能退化检测与恢复（PDDR）方案。在此背景下，首先推导了在反馈控制回路中稳定图像表示（SIR）的离线和在线数据驱动实现。在此基础上，研究了间隙度量的在线数据驱动计算，并提出了一种实时性能退化检测方法。其次是数据驱动的二自由度（2-DOF）控制器配置，包括基于观测器的状态反馈控制器和用于系统性能退化恢复的图像子空间预测前馈控制器。通过一个实验室三缸系统的实验案例研究，验证了所提出的性能退化检测和恢复方案的有效性。

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.