Institut de Génie Electrique et d'Electronique
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Item A Comparative analysis of flight control for an autonomous aerial delivery vehicle(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Riabi, Hanane; Cherifi, Dalila (supervisor)This work explores a comparative analysis of fligh tcontro lfo ra nautonomou saeria ldelivry vehicle, specificall yapplie dt omedica lassistanc ei nemergenc yan dnatura ldisaste rscenarios. The study begins with an overview of drone technology, including classification san dapplications. It then delves into mathematical modeling, focusing on quadcopter dynamics and control systems. Two distinct control methodologies, linear PID control and 5th generation of Sliding mode control(Continuous Nonsingular Terminal Sliding Mode contoller), are synthesized and simulated. The comparative analysis evaluated the performance of the linear PID controller and the CNSMC approach for the QBall 2 quadrotor system. We assessed their behavior under normal conditions, and the CNSMC controller demonstrated superior resilience to perturbations compared to the PID controller. This makes CNSMC the preferred choice for real-world applications where stability and adaptability are crucial.Item mplementation of low band booster on LTE 900MHz network for enhanced edge user experience(Université M’hamed Bougara de Boumerdes : Institut de Genie Electrique et Electronique, 2024) Bouloum, Sofiane; Boursas, Idir; Smailii, Nesrine ( Supervisor)Mobile telephone operators, in functions of the network load, are always looking for innovative solutions in order to improve the quality of service(QoS) given the non-availability or the limitation of the band spectral bandwidth. On the EGSM band, Djezzy has decided to activate 4G (L900) on 3 MHz as bandwidth. Given the spectral limitation of the band, the Qos is more than essential in order to offer the best 4G experience to our clients. The objective of our thesis is to improve the performance of the 4G network (L900 3MHz) in terms of throughput and make the best use of these spectral resources limited by the deployment and optimization of the “Low band booster” solution. This will be done by firs tstudyin gth earchitectur eo f a4 GLT Enetwork ,th edifferen tQo sparameter sa swell as reviewing the strategy adopted in implementation of carrier aggregation, mid and low band coordination and scheduling of data transmission. The contribution of our work in this project is to optimise the overall Djezzy radio access network to meet the high demand of a good quality service particularly the high demand for network capacity.Item PLC and HMI based monitoring and control of an induction motor using VFD drive and profinet protocol(Université M’Hamed Bougara de Boumerdes : Institut de génie electrique et electronique (IGEE), 2024) Zerrouki, Abderrezak; Ouadi, Abderrahmane (Supervisor)Various applications in industrial automation require accurate and effective motor speed control. This project addresses this need by developing a motor speed control system utilizing a variable frequency drive (VFD), programmable logic controller (PLC), and human-machine interface (HMI). To achieve variable speed control, the study examines the operating characteristics of AC motors and their fundamental concepts, as well as the way VFDs manipulate the provided AC power. It delves into the capabilities of PLCs, highlighting how they receive control signals and direct the VFD to perform the desired motor functions. The integration of an HMI offers a user-friendly interface for system monitoring, speed set point adjustments, and fault identification. Additionally, the project incorporates the PROFINET protocol to ensure efficient and reliable communication between the PLC, VFD, and HMI. The implementation includes detailed system design, programming, and configuration. Results demonstrate the effectiveness of the integrated system in achieving accurate and responsive motor speed control, underscoring the advantages of using VFD, PLC, HMI, and PROFINET technologies in industrial automation.Item Microgrids resiliency using multi-agent system communication technology(Université M’hamed Bougara de Boumerdes : Institut de Genie Electrique et Electronique, 2024) Attou, Lina; Belaidi, Hadjira (Superviseur)Nowadays, communication and data exchange are key factors for the resilience improvement of a microgrid (MG) against natural disasters and play a pivotal role in the energy management (EM) fields .Hence ,the main objective of this project is to improve MGresilience and control its energy management system (EMS) using a multi-agent system (MAS) communication approach. First, the proposed work optimizes the load power consumption inside one MG based on the available power resources; then, the strategy is expanded to optimize power usage to improve resilience when dealing with many MG systems. The simulation of the multi-microgrid (MMG) system is done using both MATLAB Simulink and Cisco packet tracers. Various scenarios are simulated to evaluate the performance of the MAS in maintaining flexibility, stability, an dresiliency. The Cisco packet traceris used to model the communication network to ensure a robust and secure data exchange between agents. The results demonstrate that the integration of MAS communication technology significantly improves MGs’ power management.Item Simulation study of model predictive control applied to binary distillation column(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Taouli, Houria Ghoufranellah; Asselah, Lamia; Rouani, Lahcene (supervisor)Distillation columns are essential in many industries for separating liquids based on the volatility of their components. However, traditional control methods often struggle to achieve high component purity due to the process's complexity. This project investigates the use of Model Predictive Control (MPC) on a binary distillation column, comparing its performance to conventional control techniques. Guidelines for tuning the MPC controller are also provided. Simulation results show that MPC greatly improves setpoint tracking and disturbance rejection compared to traditional methods, demonstrating its potential to enhance process efficiency and product quality.Item Design of a smart PLC-based fire safety system using fuzzy logic(Université M’Hamed Bougara de Boumerdes : Institut de génie electrique et electronique (IGEE), 2024) Chelbi, Ahmed El-Hadi; Kaced, R. (Supervisor)This project aims to develop a smart fire detection and fire-fighting system to enhance fire safety measures of a three fire zone industrial facility. An intelligent fire detection algorithm based on fuzzy logic is proposed, integrating four sensor inputs (smoke obscuration rate, temperature, flame radiance and carbon monoxide concentration) for accurate fire identification and classification. Additionally, a PLC-based automation of the fire-fighting pumping system of each fire zone is developed aiming to optimize fire suppression resource deployment. The integration of these intelligent systems is achieved via a SCADA system, enabling real-time monitoring, control, and decision support. The fire detection algorithm was implemented using the MATLAB software and rigorously tested with simulations performed with the industry-standard NIST Fire Dynamics Simulator yielding highly promising results which demonstrated and validated the detection algorithm's effectiveness and robust performance. These application results demonstrate the potential of intelligent fire detection to significantly improve fire safety, a minimize damage, and protect lives through accurate, rapid response times, and optimized resource allocation.Item Feedback motion planning for car-like robots(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Derar, Iyed; Khoumari, Malik; Guernane, Reda (supervisor)In this study, we address the problem of feedback motion planning for a car-like robot de-scribed by a kinematic model, navigating through obstacles. For this purpose, we designed two sampling-based algorithms equipped with the feedback property, a Modifie dRapidly Exploring Random Tree Star (RRT*) algorithm and a Funnel-Graph algorithm. Both al-gorithms generate collision-free paths while accounting for non-holonomic constraints and uncertainties. These generated paths are then fed to the pure pursuit controller which han-dles the robot motion execution. Our approach is validated by testing the algorithms’ ability to handle differen tuncertaintie san dadaptability to environmental changes,including a performance comparison between them. The results show the superiority of the funnel-graph algorithm across all tests, which makes it best suited for real-time applications.Item Automation and supervision of the boiler sootblwing system using S7-300(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Toumi, Nesrine; Sirine, Samah; Benzaoui, M. (supervisor)This project addresses a critical issue identified by the refinery of Algiers regarding the absence of a program for the sootblowing system. The sootblowing system is essential for maintaining operational efficiency in industrial settings. It employs steam technology across three distinct sequences; pre-heating, manual and automatic. Our project not only delivers the Step 7 program required for the effective operation of the sootblowing system but also incorporates a human machine interface HMI. This last one facilitates system supervision enhancing user experience and ensuring coherent monitoring and control. Through the integration of both software and user interface design, this project offers a comprehensive solution to optimize the functionality and performance of the sootblowing system at the refinery of Algiers.Item Design and implementation of coupled tank control using PID controller(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Hamadouche, Mohamed; Kaced, R. (supervisor)Liquid level control is crucial in the industrial field, where the liquid level is required to be maintained to prevent overflows. The coupled tanks system is common in industrial control processes. The system consists of two tanks, with the liquid flowing through them. Each tank contains an inlet and an outlet. The main principle of controlling this system is to maintain a constant level of liquid in each tank when there are inflows and outflows of liquid. To control the liquid level in the coupled tanks system, the mathematical model of the system has been derived and evaluated in the form of a linear model. The mathematical model of the system was developed to apply for the PID control system, considering the dynamic behavior of the system. Once the system had been designed, the corresponding model was implemented using the MATLAB and Simulink software. According to simulation and experimental results, the PID control worked well to stabilize the system at specific set point values.Item Comparison of three neural network controllers(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Chadli, Rayane; Akroum, Mohamed (supervisor)The integration of neural networks in control theories has the potential to revolutionize modern control engineering by enhancing performance measures and increasing plant efficiency. This project aims to explore the performance of three neural network controllers: Neural Network Predictive controller , Neural Network Model Reference Controller, and the Nonlinear Auto-Regressive Moving Average Controller and evaluate the potential benefits and challenge sassociated with each type of controller. A system simulation was created on Simulink and Matlab scripts to compare a set of performance measures. Data were collected from several simulations and averaged to provide estimates. The finding sindicat etha tneura lnetwork sca nsignificant lyimpro v eaplant ’sresponse and accuracy,especially the Nonlinear Auto-Regressive Moving Average (NARMA-L2) and Neural Network Model Predictive Controllers. However, challenges such as controller training and computational power suggest a need to optimize the network algo- rithms. While neural network controllers provided enhanced responses with minimal informa- tion about the plants,each type studied has a specifi cfie ld ofapplicati ona ndlimitations under certain conditions.