Fault estimation and self-healing control for actuator fault in dissolved oxygen control of wastewater treatment

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

Journal of Process Control Pub Date : 2025-04-16 DOI:10.1016/j.jprocont.2025.103433

Hongyang Zan , Haozhou Wang , Xinyu Yu , Hongguang Pan , Li Li

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引用次数: 0

Abstract

Wastewater treatment processes (WWTPs) are inherently complex, characterized by various dynamic operations such as aerobic digestion, which critically depends on maintaining optimal dissolved oxygen (DO) levels. Actuator faults in WWTPs, particularly those affecting oxygen transfer systems, can disrupt this balance, leading to inefficiencies and safety hazards. This paper addresses the issue of fault estimation and self-healing control, specifically in the presence of additive actuator faults affecting the DO regulation. First, a low-order state-space model is introduced as a mechanistic alternative to the Benchmark Simulation Model No. 1 (BSM1) to model the dynamics of WWTPs. Second, the additive actuator fault is incorporated into the system state, and an adaptive proportional-integral observer (APIO) is designed to estimate these faults. Third, a self-healing controller based on sliding-mode control (SMC) is developed to restore the system’s performance and ensure stable DO levels. Finally, the performance of the proposed strategy is evaluated through simulations, which demonstrate its ability to accurately estimate faults and effectively restore system stability in the presence of actuator failures.

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废水处理工艺（WWTPs）本身非常复杂，其特点是各种动态操作，如好氧消化，而好氧消化的关键在于保持最佳的溶解氧（DO）水平。污水处理厂中的执行器故障，尤其是影响氧气传输系统的故障，会破坏这种平衡，导致效率低下和安全隐患。本文探讨了故障估计和自愈控制问题，特别是在存在影响溶解氧调节的附加执行器故障的情况下。首先，本文引入了一个低阶状态空间模型，作为 1 号基准模拟模型（BSM1）的机械替代模型，用于模拟污水处理厂的动态。其次，将加法执行器故障纳入系统状态，并设计了自适应比例积分观测器（APIO）来估计这些故障。第三，开发基于滑模控制（SMC）的自愈控制器，以恢复系统性能并确保稳定的溶解氧水平。最后，通过仿真对所提策略的性能进行了评估，结果表明该策略能够准确估计故障，并在执行器出现故障时有效恢复系统稳定性。

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.