Control performance‐based fault detection and fault‐tolerant control schemes for a class of nonlinear systems

Han, Huayun; Chen, Xiaolu; Li, Linlin; Ding, Steven X.

doi:10.1002/rnc.4828

Cited by 6 publications

(2 citation statements)

References 41 publications

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“…Concerning nonlinear control systems, corresponding results have been reported in [16,32,33]. • In our example, the application of the unified framework to the detection of cyberattacks is schematically and shortly illustrated.…”

Section: Functionalization Of All Stabilizing Feedback Controllersmentioning

confidence: 54%

A note on diagnosis and performance degradation detection in automatic control systems towards functional safety and cyber security

Ding

2022

Security and Safety

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This note addresses diagnosis and performance degradation detection issues from an integrated viewpoint of functionality maintenance and cyber security of automatic control systems. It calls for more research attention on three aspects: (i) application of control and detection unified framework to enhancing the diagnosis capability of feedback control systems, (ii) projection-based fault detection, and complementary and explainable applications of projection- and machine learning-based techniques, and (iii) system performance degradation detection that is of elemental importance for today’s automatic control systems. Some ideas and conceptual schemes are presented and illustrated by means of examples, serving as convincing arguments for research efforts in these aspects. They would contribute to the future development of capable diagnosis systems for functionality safe and cyber secure automatic control systems.

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Section: Functionalization Of All Stabilizing Feedback Controllersmentioning

confidence: 54%

A note on diagnosis and performance degradation detection in automatic control systems towards functional safety and cyber security

Ding

2022

Security and Safety

Self Cite

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“…It is noticed that the online computational burden of this diagnostic approach is the main concern in practical applications for real time systems. The other work presented in [34] focuses on the development and analysis of fault detection and FTC schemes for a specific class of nonlinear systems. The authors have proposed two performance-based frameworks for FD and FTC in general nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

Development of a fault diagnostics and tolerance system: An application to continuous stirred tank reactor

Asim Abbasi,

Huang

2024

Meas. Sci. Technol.

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Fault diagnosis and tolerance are crucial for monitoring system health and ensuring stability in industrial processes. Challenges arise in designing fault diagnostic solutions for real-time industrial processes with inherent nonlinear dynamic behaviors, particularly when dealing with multiple operating regions characterized by varying dynamics. This article addresses this challenge and proposes a fault diagnostic and tolerant control scheme for industrial systems. The proposed approach integrates a fuzzy-based realization technique with a subspace-aided methodology to effectively handle the nonlinear dynamic behavior observed across different operational scenarios. A practical solution is presented, significantly reducing the computational burden associated with online diagnostics, as the parity vectors are computed offline using available input–output data for different operating regions. During online diagnostics, only computed parity spaces are used with fuzzy realizations for residual generation, leading to a significant reduction in online computation. Numerical examples demonstrate the effectiveness of the proposed method, achieving a high precision rate in fault diagnostics. Furthermore, the diagnostic methodology is integrated with fault-tolerant control for practical applications, as demonstrated in the application of a continuous stirred tank reactor. This integration enables the system to effectively tolerate faults and ensure sub-optimal operation of the industrial process.

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Adaptive Fuzzy Fault‐Tolerant Control for CSTR With State Constraints Dependent on Temperature and Concentration

Ma,

Liu,

et al. 2024

Intl J Robust & Nonlinear

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The indispensable experimental equipment of the continuous stirred tank reactor (CSTR) is crucial in chemical production processes. This paper presents a novel adaptive state‐dependent constraint control method for nonlinear CSTR system. The CSTR system is transformed into the nonlinear system with a pure feedback structure begins with the mean value theorem. Subsequently, the Fuzzy logic systems (FLS) is used to approximate unknown dynamics. Reactant concentration and mixture temperature are crucial variables in CSTR system. When these variables surpass the specified constraints, it can lead to a decrease in product quality and yield. The constraint boundaries considered in this paper are dependent on both state and time. Therefore, the time‐varying asymmetric Barrier Lyapunov Function (BLF) is proposed to deal with state‐dependent constraints. Additionally, the actuator fault is resolved in this paper, by considering fault‐tolerant control strategy. Lyapunov stability analysis shows that all signals in a closed‐loop system are bounded. Finally, the effectiveness of the control scheme is verified by the simulation of CSTR system.

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Control performance‐based fault detection and fault‐tolerant control schemes for a class of nonlinear systems

Cited by 6 publications

References 41 publications

A note on diagnosis and performance degradation detection in automatic control systems towards functional safety and cyber security

A note on diagnosis and performance degradation detection in automatic control systems towards functional safety and cyber security

Development of a fault diagnostics and tolerance system: An application to continuous stirred tank reactor

Adaptive Fuzzy Fault‐Tolerant Control for CSTR With State Constraints Dependent on Temperature and Concentration

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