Supervision and Control Industrial Refrigerator by Integration External and Bond Graph Models

Abderrahmene Sallami; Maher Ben Hariz

Supervision and Control Industrial Refrigerator by Integration External and Bond Graph Models

Abderrahmene Sallami * §

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Maher Ben Hariz

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UniversitÃ© de Tunis El Manar

Supervision and Control Industrial Refrigerator by Integration External and Bond Graph Models

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Abstract

This article aims to solve the problems of supervision and PI controller of an industrial thermal system (the industrial static refrigerator). The structure of an industrial system from the point of view of the external model operates in several modes of operation (normal and abnormal). For this external model, we have two problems, the first problem is a fault location problem because we are talking about a global operation of the system and the second problem is a problem of visualization of the phenomenon of switching between the operating modes of the system. For this, in this article we have integrated two other models to solve the problems in question. For the localization problem, we used the bond graph model. This model, by its graphic nature and the use of a unified language, allows to model the industrial system element by element from which it helps the user not only to detect defects, but also to locate them when they appear in the system.

References

39 Cites in Article

Reference Format

J Jeyashanthi,M Santhi (2020). Performance of Direct Torque Controlled Induction Motor Drive by Fuzzy Logic Controller.
M Čedomir,P Milutin,V Boban,P Branislava,Senad (2019). Robust Discrete-Time Quasi-Sliding Mode Based Nonlinear PI Controller Design for Control of Plants with Input Saturation.
R Kalaivani,Lakshmi (2014). Biogeography-Based Optimization of PID Tuning Parameters for the Vibration Control of Active Suspension System.
Omar Lutfy,Samsul Mohd Noor,Mohammad Marhaban (2010). A genetically trained simplified ANFIS Controller to control nonlinear MIMO systems.
Y Chen,M Lee (2002). Neural networks-based scheme for system failure detection and diagnosis.
J Flett,G Bone (2016). Fault detection and diagnosis of diesel engine valve trains.
D Jayaprasanth,S Kanthalakshmi (2018). Fault Detection and Isolation in Stochastic Nonlinear Systems using Unscented Particle Filter based Likelihood Ratio.
M Raghappriya,S Kanthalakshmi (2020). Non-linear Model-based Stochastic Fault Diagnosis of 2 DoF Helicopter.
Rochdi Merzouki,Arun Samantaray,Pushparaj Pathak,Belkacem Ould Bouamama (2013). Intelligent Mechatronic Systems.
N Chatti,Gehin,Ould Bouamama,B Merzouki,R (2013). Functional and behavioural models for the supervision of an intelligent and autonomous system.
Jinghao Zhu (2018). Singular optimal control by minimizer flows.
Praveen Babu,Nithin Xavier,Bijnan Bandyopadhyay (2018). Robust nonovershooting tracking controller for descriptor systems.
W Khalil,R Merzouki,B Ould-Bouamama,H Haffaf (2012). Hypergraph Models for System of Systems Supervision Design.
R Loureiro,R Merzouki,B Ould-Bouamama (2012). Structural Reconfigurability Analysis for an Over-Actuated Electric Vehicle.
Tarun Bera,Rochdi Merzouki,Belkacem Bouamama,Arun Samantaray (2012). Design and validation of a reconfiguration strategy for a redundantly actuated intelligent autonomous vehicle.
A Samantary,Ould Bouamama,B (2008). Model-based Process supervision.
K Medjaher,A Samantary,Ould Bouamama,B Staroswiecki,M (2006). Supervision of an industrial steam generator. Part II: On line implementation.
A Graisyhm (1998). Liste des auteurs.
P Duthoit,J Martin (1997). La supervision: L'art de maitrise des processus.
M Staroswiecki (1994). La problématique et les approches de la surveillance des systèmes technologiques.
J Cassar,R Litwak,V Coquempot,M Staroswiecki (1994). Approche structurelle de la conception de systèmes de surveillance pour les procédés industriels complexes.
S Simani (2006). Discussion on: “FDI Using Multiple Parity Vectors for Redundant Inertial Sensors”.
M Imhemed,B Conrard,M Bayart (2007). Génération de Code grâce au modèle externe pour un instrument intelligent. 7ème édition du congrès international pluridisciplinaire Qualita.
M Maza,M Bayart,B Conrard,V Cocquempot (2006). On the dependability design of complex Systems.
M Bayart,E Lemaire,M-A Péraldi,C André (1998). External Model and SyncCharts Description of an Automobile Cruise Control.
M Bayart,E Lemaire,M-A Péraldi,C André (1999). External model and SyncCharts description of an automobile cruise control system.
A Sellami,D Mzoughi,A Mami (2018). Robust Diagnosis of Industrial Systems by Bond graph Model.
Abderrahmene Sallami,Nadia Zanzouri,Mekki Ksouri,Belkacem Ould Bouamama (2016). Supervision of a Three Tanks System by Bond Graph and External Models.
D Paynter,V Mathis (1961). Redundancy techniques in reliable power supply design.
Joel Gonzalez,Christophe Sueur (2018). Unknown input observer with stability: A structural analysis approach in bond graph.
B Ould-Bouamama (2014). Contrôle en ligne d'une installation de générateur de vapeur par Bond Graph.
R Tapia Sánchez,J Medina Ríos,A Paz (2018). Bond graph based control of a solar array.
B Ould-Bouamama (2013). Conception intégrée pour la surveillance robuste des systèmes.
A Samantaray,B Ould Bouamama (2008). Model-based Process Supervision.
Morteza Montazeri-Gh,Seyed Fashandi (2018). Bond graph modeling of a jet engine with electric starter.
S Benmoussa,R Merzouki,Ould-Bouamama B (2012). Bond Graph Model-Based Fault Detection and Isolation : Application to Intelligent Autonomous Vehicles.
A Aitouche,Ould Bouamama,B (2008). Detecting and Isolating Actuators Faults of Steam Boiler.
Matías Nacusse,Sergio Junco (2015). Generalized controlled switched bond graph junctions.
Abderrahmene Sellami,Emna Aridhi,Dhia Mzoughi,Abdelkader Mami (2018). Performance of the Bond Graph Approach for the Detection and Localization of Faults of a Refrigerator Compartment Containing an Ice Quantity.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Abderrahmene Sallami, Maher Ben Hariz. 2026. "Supervision and Control Industrial Refrigerator by Integration External and Bond Graph Models". Global Journal of Research in Engineering - G: Industrial Engineering GJRE-G Volume 22 (GJRE Volume 22 Issue G1).

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GJRE Volume 22 Issue G1

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-G Classification DDC Code: 338.47791 LCC Code: PN1590.F55

Submission ReceivedNovember 14, 2021
Peer Review Double Blind
Handling Editor
Accepted December 4, 2021
Published December 18, 2021

Version of record

v1.2

Issue date

May 13, 2022

Language

English

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