Contrôle
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Item Pressure exchanger alarm prediction using KNN in desalination station(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Omari, Aicha Oumaima; Ouadi, Abderrahmane (supervisor)The desalination process removes dissolved salts from water, and this can include seawater, water from inland seas, mineralized groundwater, and municipal waste water, where the aim is to convert sea water into fresh water that’s safe for drinking, irrigation, and other uses to help for solving the water crisis. The process involves separating salt from water molecules from water, that several desalination methods can accomplish. For example, membrane processes are a class of water treatment technologies that use permeable membranes to separate salts and other impurities from water as it passes through a two main types of membrane processes are reverse osmosis and electrodialysis. This type of technique contain an Energy Recovery Device called Pressure Exchange (PX) which is a flow based operating meaning that the flows of the process are the only factors affecting its operation when having good pre-treatment plant .where its alarms are not easily detected by the SCADA stuff due to codependency of the process flows from every plant equipments, such that there are percentages of one flow to the other that should be respected to avoid alarm cases from the domination of one on another resulting in unbalanced state. We propose in this project, an alarm prediction model that use standardization scalers for pre-processing and machine learning algorithms to investigate and compare the supervised ML binary classifiers choosing the top three. Experimental evaluation yields the best performance using Min-Max scaler as feature scaling technique, and K-Nearest Neighbors as a classi¿er, with an accuracy of 99.13%.Item Real-time monitoring of smart grid using synchronized measurement technology(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Maouche, Nadine; Tamache, Rania; Ouadi, Abderrahmane (supervisor)The aim of this project is to create a monitoring system employing a Phasor Data Con-centrator (PDC) integrated with LabVIEW, in accordance with IEEE standards. The objective is to incorporate various PDC functionalities,illustrating the transfer of data streams from multiple Phasor Measurement Units (PMUs) to the PDC and subsequent storage.This system enhances grid performance and reliability through real-time monitor- ing, and precise, synchronized data management.Adhering to IEEE standards, the project ensures compliance for synchrophasor measurements and data handling. The PDC appli-cation is constructed using LabVIEW, harnessing its graphical programming features for efficient implementation and visualization. Essential toolkits are integrated to facilitate data handling and transmission. Furthermore, visualization tools within LabVIEW arecreated to exhibit real-time data and system status.The PDC effectivel yprocesse sincom-ing data streams, aggregating and synchronizing data according to system requirements.In conclusion, the developed monitoring system utilizing PDC offer ssubstantia ladvantages for grid monitoring and control, signifying improvements in grid reliability, stability, and efficiency with in smart grid environments.Item Identification &implementation of 3D of small scale helicopter control system design(2022) Benaziza, Youcef; Maouche, Taha Moncef; Ouadi, Abderrahmane (supervisor)Considerable attention has been attracted to the analysis and control of helicopters due to their potential military and civil applications as well as scientific significance. In order to build a testbed for implementing newly developed linear and nonlinear control techniques, a device of 3-DOF helicopter is developed in our laboratory (Signaux et systèmes) similar to that produced by Quanser Consulting Inc. for laboratory use. Such a platform emulates the longitudinal motion of actual helicopters and presents significant similarities, in terms of dynamics and underactuation properties, with six-DOF multicopters; hence, it constitutes a prime experimental testbed and is widely used for the design of nonlinear feedback controllers. The 3-DOF laboratory helicopter consists of a base that carries a long arm capable of rotating about the elevation axis. One end of the arm is attached to a counterweight, while two bldc motors with propellers are installed at the other end to create forces that drive the propellers. Two motors’ axes are parallel, and the thrust vector is normal to the frame. Three encoders are connected to the helicopter in order to measure the elevation, pitch, and travel angles of the body, and two voltage controlling electronic speed controllers are used to realize the control action in the system. The front-and back-motor voltages are the control input of the system. Since there are more degrees of freedom than actuators, this is an under-actuated system. The 3DOF helicopter is modeled using Newton-Euler, and three equation of motions were considered. Different experimental setups were developed in our laboratory for identifying the unknown motions equations parameters. The first experiment established the bldc motor- propeller thrust force-voltage relation-ship parameters. Three other experiments are based on time-motion recorded measurement for each axis, while the others axis were fixed. Using these measurement data, the requested model parameters were generated using optimization technique with MATLAB MINUNC function. A linearized 3DOF helicopter MIMO state space model, obtained from nonlinear model, around an equilibrium point is used to design an LQR and LQG (Linear Quadratic Guassian) controllers which are simulated using SIMULINK. A 3D image (3DOF helicopter) with the LQR controller is implemented using LABVIEW, allowing real-time simulation of a 3D view of travel, yaw and elevation variations. The designed LQR controller algorithm is successfully implemented using LABVIEW to control the 3DOF platform in real-time in order to assess the controller performances and compare it with the simulated ones. The NI PCI6221 daq board is used to generate the control voltages of the front and back motors. While the three axis positions are sensed using the 1000 p/r encoders. All variable parameters, including the 3 axis helicopter variable and generated output are data-logged using developed recording functions within the developed software for complete analysis and performance evaluationItem Stateflow-based energy management system for PV-battery hybrid micro-grid(2022) Chiker, Nesrine; Chouider, Naziha; Ouadi, Abderrahmane (supervisor)PV (Photovoltaic) systems are one of the most well-known renewable, green, and clean energy sources. Solar energy, unlike fossil fuels, has great environmental benefits as it produces no harmful pollutants during power generation. This work investigates the potential application of Stateflow (SF) to design an energy management system for PV-Battery Hybrid Micro-Grid supplied by multi-sources. The complete MATLAB/SIMULINK simulation of the system is performed under different operating circumstances. To prove the effectiveness of the proposed control strategies, the energy management control is first tested using simple load like a household. Then, in order to handle emergency situations, load priority concept and scheduled load shedding during peak hours were included. Simulation modeling and results are provided and discussed to demonstrate the effectiveness of the design and to verify the system‘s performance.Item Elevation and pitch identification, controller design and implementation of a small scale 2-DOF helicopter.(2021) Benchouk, Abdenour; Maziz, Mohamed Abdeldjelil; Ouadi, Abderrahmane (supervisor)The helicopter is a good study example for Multiple-Input Multiple-Output (MIMO) non- linear system with unknown constant parameters, and process disturbance. This project focuses on designing and constructing a bench model of 3-DOF helicopter using di ff erent hardware parts BLDC motors,ESC,Rotary encoders. . . etc. We start by developing a Mathematical model of the system and identifying the di ff erent parameters, then a Linear-Quadratic Gaussian (LQG) controller is designed and evaluated.Item Information archiving of remote HMI TP900 comfort in a PLC based networked plan using ODK development Kit and TIA portal(2020) Bouloudene, Walid; Ouadi, Abderrahmane (supervisor)In aplan composed of S7-1217Cs, conneced to an HMI TP900 comfort at a remoe location having disconnection problems, we will be developing a solution to store process data of the plant PLCs in an archiving PLC chosen to be an S7-1507s insalled in an IPC227E. The archiving will be through ODK development Kit and TIA portal. The solution obtained performs efficiently the task and fulfills the criteria of our customer.Item Automation and supervision of a sewage lifting station PR36 in SEAAL(2020) Gougam, Imad Eddine; Ouadi, Abderrahmane (supervisor)It is well known that infrastructure is the fundamental facilities and systems serving a country or a city to support productive activities. Reducing costs, eliminating mistakes and saving time are the reasons why the automation of the infrastructures has become an absolute necessity nowadays. This study aims to perform the automation of the sewage lifting station "PR36" within SEAAL using programmable logic controllers and the supervision of the station following Siemens' modern technologies. In this context, programmable logic controller is defined as an industrial digital system which has been adapted for the control of manufacturing processes such as sewer systems to provide ease of programming, which is often networked to HMI system for supervision and diagnosis. Based on documents about operation principle of the station and theoretical background, the architecture and characteristics of S7-1200 and S7-1500 PLCs were described, the program was created with ladder diagram using STEP 7 and the different views of the station were modeled using WinCC with an implementation in HMI system. The simulation shows strong and efficient results in terms of accuracy and protection. The results indicate that automation has a huge impact on the reliability and the productivity of these facilities. On this basis, it is recommended that companies rely on automation in maintaining their products.Item Design and simulation of a mechanical respirator(Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE), 2020) Boudjeba, Zeineb; Khelifa, Khaoula; Ouadi, Abderrahmane (supervisor)The aim of this project is to design and simulate a mechanical ventilator, which is used to maintain, or improve the functional capabilities of persons with disabilities in breathing period. This project presents a mathematical model of Pressure Controlled Ventilator (PCV) signal. This mathematical model represents the respiratory activities and some important controlled parameter during mechanical ventilation are considered. The mathematical model is expressed and modelled using periodic functions with inequalities to control the beginning of inspiration and expiration durations. The created mathematical model of PCV signal is combined with an existing multi compartmental model of respiratory system that is modified and developed in the internal parameters - compliances (C) to test the created mathematical model. Moreover, in order to verify the mathematical model, a simulation using MATLAB and its SIMULINK library is done. The obtained simulation results as pressure, flow and volume agree well with the real and experimental curves, which confirms the accuracy of our model.Item Speed self-tuning adaptive control of DC motor(2019) Messilem, Med Abdelmouamin; Kaib, Mohammed Tahar Habib; Ouadi, Abderrahmane (supervisor)This thesis presents a self tuning pole placement adaptive controller which updates its parameters automatically in order to conserve the desired characteristics of the controlled system. PMDC Motor is used as plant (process) response of this adaptive controller. Two methods are used for offline system identification (Pattern Search Genetic Algorithm, Non-Linear Least Squares Estimation), data acquisition (NI-PCI 6221-37pin) is used to acquire data that will be used to identify the parameter of the motor (armature resistance, inductance, and inertia), armature current, input voltage and rotational speed of the PMDC Motor are the data acquired and used in system identification. DAQ tool box in MTLAB/SIMULINK is used to perform the analysis on the data acquired based on Non-Linear Least Squares Estimation and Pattern Search Genetic Algorithm. PID controller is designed based on the model estimated, and is implemented and tested using the motor in order to validate the obtained model. The Recursive Least Squares Estimator block in SIMULINK is used to perform the online estimation. The controller is implemented and simulated in SIMULINK (SIMULINK Desktop Real-Time), the behavior of the PMDC motor is close to the desired response. Output response of the PMDC Motor can be changed due to a perturbation, environment changes or parameters changes. STC is able to track the system (plant or process) for maintaining the desired behavior.