achbi mohammed said
Verified @yahoo.fr
FNTIC
Prof.
RESEARCH INTERESTS
Electrical
Scopus Publications
- DEVELOPMENT OF A REAL-TIME MONITORING AND CONTROL SYSTEM FOR AN INDUSTRIAL PLANT USING PLC AND SCADA TECHNOLOGIES
Achbi Mohammed Said, Benarabi Bilal, Rouabah Boubakeur, Boutalbi Mohammed Chaker
Journal of Engineering and Technology for Industrial Applications, 2026
Automated systems are technological solutions designed to operate with minimal or no human intervention, performing tasks with high precision and efficiency. By integrating sensors, actuators, and advanced control logic, these systems optimize operations across various domains, including residential, commercial, and industrial sectors. Their applications range from smart home devices to complex manufacturing processes. This study presents the design and implementation of a comprehensive automation and control system for an industrial milk processing plant. The system aims to optimize critical production processes, including water heating and cooling, milk storage, pasteurization, bottling, and cleaning operations. Programmable Logic Controllers (PLCs) are employed to control the machinery and equipment, while Human-Machine Interfaces (HMIs) and a Supervisory Control and Data Acquisition (SCADA) system provide centralized monitoring, control, and visualization. The proposed solution integrates both hardware and software components to deliver a user-friendly graphical interface for operational supervision and process management. The primary objective is to improve milk production efficiency, ensure process reliability, enhance product quality, and facilitate a seamless and intuitive operator experience.. - Improving CSTR Performance Using a Super-Twisting Sliding Mode Controller
Mokhtar Khenfer, Mohammed Said Achbi, Boubakeur Rouabah
Proceedings 2025 5th International Conference on Applied Automation and Industrial Diagnostics Icaaid 2025, 2025
This work presents a second-order sliding mode control strategy for a multivariable continuous stirred tank reactor (CSTR). The proposed controller, based on the super-twisting algorithm, is designed to mitigate the chattering phenomenon that characterizes first-order sliding mode approaches while preserving robustness and finite-time convergence. The control objective is to achieve accurate reference tracking of both the reactor temperature T and the concentration C<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">C</inf> of component C at the outlet. Simulation results highlight the effectiveness of the method and demonstrate its improved performance compared to conventional first-order sliding mode control. - Real-Time performance monitoring and climatic impact assessment of a PV system using SCADA data and performance metrics
Leila BOUCERREDJ
Przeglad Elektrotechniczny, 2025
Wydawnictwo SIGMA-NOT wydaje czasopisma fachowe informujące swoich czytelników o najnowszych osiągnięciach naukowych i nowoczesnych rozwiązaniach technicznych w Polsce i na świecie, popularyzuje problemy techniczne oraz poszerza wiedzę i kulturę techniczną. - Real-Time Communication between Heterogeneous PLCs and MATLAB via OPC with Fuzzy Controller Integration: A Desalination Plant Case Study
Benarabi Bilal, Khenfer Mokhtar, Achbi Mohammed Said, Rouabah Boubakeur, Mahboub Mohamed Abdelbasset, Kechida Sihem
Proceedings 2025 5th International Conference on Applied Automation and Industrial Diagnostics Icaaid 2025, 2025
Complex system solutions are difficult to manage for industry-standard controllers such as Programmable Logic Controllers (PLCs) and DCS (Distributed Control Systems). Conversely, MATLAB/SIMULINK offers advanced capabilities for modeling and solving complex systems. For PLC to be able to solve this type of complex system, real-time communication with MATLAB is extremely important. The OPC (Open Platform Communications) interoperability standard facilitates the exchange of data between MATLAB/SIMULINK and PLC, acting as a bridge in the context of industrial automation. However, fuzzy logic provides an advantage when solving complex systems. The present research applies two inputs, which aim to create an interface connecting PLC equipment from different manufacturers and propose an intelligent control and supervision methodology using artificial intelligence techniques for industrial applications. The methodology provides operators with information and solutions to facilitate online supervision tasks, creating a decision support module. The research uses Siemens and Schneider controller software to seamlessly integrate these controllers into a unified installation, addressing the challenges of complex automated systems. - IoT-Based Monitoring of a Dual-Axis Solar Tracking System
Mohammed ACHBI
Przeglad Elektrotechniczny, 2024
Wydawnictwo SIGMA-NOT wydaje czasopisma fachowe informujące swoich czytelników o najnowszych osiągnięciach naukowych i nowoczesnych rozwiązaniach technicznych w Polsce i na świecie, popularyzuje problemy techniczne oraz poszerza wiedzę i kulturę techniczną. - Optimal Energy Management in Microgrid: PV, Wind, Battery Integration with Intelligent Control Strategies
Chakib Guebli, Boubakeur Rouabah, Bilal Benarabi, Mohamed Abdelbasset Mahboub, Mohamed Said Achbi
2024 2nd International Conference on Electrical Engineering and Automatic Control Iceeac 2024, 2024
This paper proposes an energy management system approach used for micro-grid. battery storage system, photovoltaic (PV) and wind turbine sources, are used to supply electric load. The system incorporates Maximum Power Point Tracking (MPPT) algorithms for PV and wind systems to optimize power extraction, while a Proportional-Integral-Derivative (PID) control strategy is implemented for battery management. Insulated Gate Bipolar Transistors (IGBTs) are utilized as switches to ensure seamless integration and power flow management between the sources. Simulation results using MA TLABI Simulink software demonstrates the effectiveness of the MPPT algorithms in maximizing power generation, the efficiency of the PID control strategy for battery charge and discharge cycles, and the smooth operation of the IGBT switches in managing power routing. The above results can contribute to the advancement of micro-grid technology by enabling efficient power flow management, optimal energy utilization, and stable power supply within the micro-grid system. - FAULT TOLERANT CONTROL AND FAULT DIAGNOSIS METHODS INTEGRATED USING INTELLIGENT CONTROLLER FOR HYBRID DYNAMIC SYSTEMS
Mohammed Said Achbi, Boubakeur Rouabah, Mohamed Abdelbasset Mahboub, Bilal Benarabi, Mohamed Redouane Kafi, Sihem Kechida
Diagnostyka, 2024
This research aims to provide a fault diagnosis approach for Hybrid Dynamic (SDHs), Systems and Fault-Tolerant Control synthesis, while also ensuring the smooth operation of industrial settings. This study is a part of the larger topic of Hybrid Dynamic System control and fault diagnosis. The primary focus is on modelling strategies designed expressly for Hybrid Dynamic Systems, with a concentration on combining continuous and event-driven components. Much work is devoted to developing a model that can incorporate both kinds of elements. A system model that can track several modes without explicit identification can be created by utilizing Neuro-Fuzzy Networks, providing a thorough overview. On the basis of this synthesized model, an AI-based fault diagnosis method is subsequently developed. - A neural-fuzzy approach for fault diagnosis of hybrid dynamical systems: Demonstration on three-tank system
Mohammed Said Achbi, Sihem Kechida, Lotfi Mhamdi, Hedi Dhouibi
Acta Mechanica Et Automatica, 2021
This work is part of the diagnostic field of hybrid dynamic systems (HDS) whose objective is to ensure proper operation of industrial facilities. The study is initially oriented to the modelling approach dedicated to hybrid dynamical systems (HDS). The objective is to look for an adequate model encompassing both aspects (continuous and event). Then, fault diagnosis technique is synthesised using artificial intelligence (AI) techniques. The idea is to introduce a hybrid version combining neural networks and fuzzy logic for residual generation and evaluation. The proposed approach is then validated on three tank system. The modelling and diagnosis approaches are developed using MATLAB/Simulink environment. - Methodology for monitoring and diagnosing faults of hybrid dynamic systems: A case study on a desalination plant
Achbi Mohammed Said, Kechida Sihem
Diagnostyka, 2020
The imperative of quality and productivity has increased the complexity of technological processes, posing the problem of reliability. Today, fault diagnosis remains a very important task because of its essential role in improving reliability, but also in minimizing the harmful consequences that can be catastrophic for the safety of equipment and people. Indeed, an effective diagnosis not only improves reliability, but also reduces maintenance costs. Systems in which dynamic behaviour evolves as a function of the interaction between continuous dynamics and discrete dynamics, present in the system, are called hybrid systems. The goal is to develop monitoring and diagnostic procedures to the highest level of control to ensure safety, reliability and availability objectives. This article presents an approach to the diagnosis of hybrid systems using hybrid automata and neural-fuzzy system. The use of the neural-fuzzy system allows modeling the continuous behaviour of the system. On the other hand, the hybrid automata gives a perfect estimate of the discrete events and make it possible to execute a fault detection algorithm mainly consists of classifying the appeared defects. On the implementation plan, the results were applied in a water desalination plant. - Methodology to knowledge discovery for fault diagnosis of hybrid dynamical systems: Demonstration on two tanks system
Mohammed Said Achbi, Lotfi Mhamdi, Sihem Kechida, Hedi Dhouibi
Diagnostyka, 2020
The work carried out in this article concerns on the implementation off a diagnostic procedure for hybrid dynamic systems (HDS) whose objective is to guarantee the proper functioning of industrial installations. In this context, the main contributions of this work are summarized into three parts: The first part is oriented to the modeling approach dedicated to HDS. The aim is to find an adequate model combining both aspects (continuous and discrete dynamics). The use of Neuro-fuzzy networks makes it possible to build a model of the system and to follow all the modes without it being necessary to identify or discern them. The second part concerns the synthesis of a fault diagnostic technique based on a fuzzy inference system. A Neuro-Fuzzy network based is used for residual generation, while for the residual evaluation, a fuzzy reasoning model is used which can mainly introduce heuristic information into the analysis scheme and takes the appropriate decision regarding the actual behaviour of the process. The proposed approach is successfully applied to monitoring faults of a non-linear three-tank system and the results confirm the effectiveness of this approach. - Diagnosis of hybrid systems through bond graph, observers and timed automata
Lotfi Mhamdi, Achbi Mohammed Said, Hedi Dhouibi, Sihem Kechida
Diagnostyka, 2020
