An intelligent active fault tolerant control strategy for pressurized water reactor: Addressing sensor faults.
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| Title: | An intelligent active fault tolerant control strategy for pressurized water reactor: Addressing sensor faults. |
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| Authors: | Kumar, Swetha R1 (AUTHOR) swetha.rkumar@vit.ac.in, Chinnasamy, Mogana Priya2 (AUTHOR), Devakumar, Jayaprasanth3 (AUTHOR) |
| Source: | Progress in Nuclear Energy. Oct2025, Vol. 188, pN.PAG-N.PAG. 1p. |
| Subjects: | Ant algorithms, Swarm intelligence, Sensor networks, Fault-tolerant control systems, Fault diagnosis |
| Abstract: | Robust and reliable control strategies are essential for ensuring the safe and efficient operation of thermal energy systems, particularly in nuclear reactors. This paper proposes an intelligent active fault-tolerant control strategy to address sensor faults in pressurized water reactors. The proposed framework comprises three key components: a control mechanism, a fault detection and diagnosis unit, and a reconfiguration mechanism. A Proportional-Integral-Derivative controller, optimized using ant colony optimization, is implemented to regulate neutron density. The fault detection and diagnosis unit employ a recurrent neural network estimator to detect sensor faults by analyzing residuals. Upon fault detection, a reconfiguration module, which is also based on a recurrent neural network, predicts the true value of the faulty sensor using correlated measurements from other sensors. The prediction accuracy is quantified using the mean square error performance index. The effectiveness and practical applicability of the proposed strategy are demonstrated through simulation studies, including a representative drift fault scenario. • Intelligent Active Fault-Tolerant Control : Proposes a novel control strategy for handling sensor faults in pressurized water reactors (PWRs) to enhance safety and efficiency. • Ant Colony Optimized PID Controller : Implements an Ant Colony Optimization technique to tune a PID controller for effective neutron density regulation. • RNN-Based Fault Detection and Diagnosis (FDD) : Utilizes a Recurrent Neural Network (RNN) estimator to detect and diagnose sensor faults through residual generation. • Reconfiguration Mechanism : Develops an RNN-based reconfiguration block to predict true sensor values, compensating for faulty measurements. • Performance Evaluation : Assesses the system's performance using the mean square error (MSE) index and conducts a detailed study under a sensor drift fault scenario. • Robust Fault-Tolerant Operation : Demonstrates the potential of the proposed control system to ensure reliable operation of thermal energy systems even in the presence of sensor faults. [ABSTRACT FROM AUTHOR] |
| Copyright of Progress in Nuclear Energy is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: An intelligent active fault tolerant control strategy for pressurized water reactor: Addressing sensor faults. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kumar%2C+Swetha+R%22">Kumar, Swetha R</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> swetha.rkumar@vit.ac.in</i><br /><searchLink fieldCode="AR" term="%22Chinnasamy%2C+Mogana+Priya%22">Chinnasamy, Mogana Priya</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Devakumar%2C+Jayaprasanth%22">Devakumar, Jayaprasanth</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Progress+in+Nuclear+Energy%22">Progress in Nuclear Energy</searchLink>. Oct2025, Vol. 188, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Ant+algorithms%22">Ant algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Swarm+intelligence%22">Swarm intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Sensor+networks%22">Sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Fault-tolerant+control+systems%22">Fault-tolerant control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Fault+diagnosis%22">Fault diagnosis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Robust and reliable control strategies are essential for ensuring the safe and efficient operation of thermal energy systems, particularly in nuclear reactors. This paper proposes an intelligent active fault-tolerant control strategy to address sensor faults in pressurized water reactors. The proposed framework comprises three key components: a control mechanism, a fault detection and diagnosis unit, and a reconfiguration mechanism. A Proportional-Integral-Derivative controller, optimized using ant colony optimization, is implemented to regulate neutron density. The fault detection and diagnosis unit employ a recurrent neural network estimator to detect sensor faults by analyzing residuals. Upon fault detection, a reconfiguration module, which is also based on a recurrent neural network, predicts the true value of the faulty sensor using correlated measurements from other sensors. The prediction accuracy is quantified using the mean square error performance index. The effectiveness and practical applicability of the proposed strategy are demonstrated through simulation studies, including a representative drift fault scenario. • Intelligent Active Fault-Tolerant Control : Proposes a novel control strategy for handling sensor faults in pressurized water reactors (PWRs) to enhance safety and efficiency. • Ant Colony Optimized PID Controller : Implements an Ant Colony Optimization technique to tune a PID controller for effective neutron density regulation. • RNN-Based Fault Detection and Diagnosis (FDD) : Utilizes a Recurrent Neural Network (RNN) estimator to detect and diagnose sensor faults through residual generation. • Reconfiguration Mechanism : Develops an RNN-based reconfiguration block to predict true sensor values, compensating for faulty measurements. • Performance Evaluation : Assesses the system's performance using the mean square error (MSE) index and conducts a detailed study under a sensor drift fault scenario. • Robust Fault-Tolerant Operation : Demonstrates the potential of the proposed control system to ensure reliable operation of thermal energy systems even in the presence of sensor faults. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Progress in Nuclear Energy is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.pnucene.2025.105900 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Ant algorithms Type: general – SubjectFull: Swarm intelligence Type: general – SubjectFull: Sensor networks Type: general – SubjectFull: Fault-tolerant control systems Type: general – SubjectFull: Fault diagnosis Type: general Titles: – TitleFull: An intelligent active fault tolerant control strategy for pressurized water reactor: Addressing sensor faults. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kumar, Swetha R – PersonEntity: Name: NameFull: Chinnasamy, Mogana Priya – PersonEntity: Name: NameFull: Devakumar, Jayaprasanth IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 01491970 Numbering: – Type: volume Value: 188 Titles: – TitleFull: Progress in Nuclear Energy Type: main |
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