Institut de Génie Electrique et d'Electronique

Permanent URI for this communityhttps://dspace.univ-boumerdes.dz/handle/123456789/2344

Browse

Filters

2018 - 201912020 - 20249

Settings

Subject: search.filters.subject.Induction motor

Search Results

Now showing 1 - 10 of 10
  • No Thumbnail Available
    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.
  • No Thumbnail Available
    Item
    Sizing of PV Pumping System with Optimizing MPPT Algorithm
    (Université M’Hamed Bougara de Boumerdes : Institut de génie electrique et electronique (IGEE), 2024) Benmbarek, Malik; Daif, Mouhaned; Kheldoun, Aissa (Supervisor)
    This report covers a comprehensive study of the sizing, modeling and simulation of a stand-alone solar water pumping system in El Oued, Algeria. The initial part involves selecting a farm located in Hassi Khalifa, El Oued, Algeria, which has an average water consumption of 43m/h. The irrigated site covers 1 hectare (10,000 square meters) of land. Sizing such a system has been carried out using differen ttool ssuc ha sCropwat ,Climwat ,an dPVgis. Sizing has led to the selection of a 2.2 kW submersible pump, 3.19 kW PV array, 3 kW inverter, and a 74m2 Tank of height 3 m. System dynamic modeling is done using MATLAB/Simulink which contains several models of sub-systems such as solar arrays, DC-DC boost converter, two-level inverter, Squirrel cage IM, and centrifugal pump, This dynamic modeling has been developed based on the sizing of the system. To improve further the overall system’s efficienc y,an enhanced P&O MPPT algorithm has been developed. Moreover, a DTC algorithm is used to regulate both the motor’s speed and torque. Various numerical simulations were conducted to illustrate and validate the effectivenes so fthi ssystem .MATLAB/Simulin ksimulation shows that this system can deliver the required energy needed for the farm to satisfy all the requirements.
  • No Thumbnail Available
    Item
    Implementation and analysis of speed control of an induction motor using variable frequency drive
    (Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Hamraoui, Oussama; Kheldoune, Aissa (supervisor)
    This work examines the implementation and analysis of speed control of an induction motor using a Variable Frequency Drive (VFD). The study focuses on optimizing motor performance through an open loop configuration within an automation system. The implementation was carried out using the Siemens G120 VFD, which receives commands from an S1200 Siemens PLC. The primary goal is to achieve precise speed control of the induction motor, enhancing efficiency and stability in industrial applications. The results provide valuable guidance on the practical usage of VFDs in industrial automation and recommendations for optimizing motor performance based on unique operational needs.
  • No Thumbnail Available
    Item
    Speed control of induction motor using adaptive fuzzy_PID controller based on direct torque control
    (Université M’Hamed Bougara de Boumerdes : Institut de génie electrique et electronique (IGEE), 2024) Messaoudi, Abdenacer; Boushaki, R. (Supervisor); Belmadani, H.
    This study investigates the simulation of advanced control strategies for three-phase induction motors, focusing on Direct Torque Control (DTC) integrated by Fuzzy Logic Controllers (FLC) and Adaptive Fuzzy PID Controllers (AFPID). Induction motors, known for their durability, simplicity, and cost-effectiveness, are widely used in industrial applications. Precise control of motor speed and torque is critical for optimizing performance efficiency. The work begins with an exploration of the construction and operating principles of induction motors, emphasizing their electromagnetic induction mechanism. Various control techniques, including DTC, are examined for their ability to enhance motor performance. DTC is highlighted for its superior dynamic response and transient performance, achieved by directly controlling motor torque and flux without the need for complex mathematical models. The integration of FLC and AFPID with DTC is explored through theoretical analysis and simulation studies. FLCs offer robust control in uncertain and nonlinear systems, modeling human reasoning to adapt the changes conditions and disturbances. The combination of these advanced controllers with DTC is shown to improve motor control, providing fast and precise adjustments in industrial applications. The findings demonstrate the potential of these advanced control strategies to revolutionize motor control systems, leading to significant improvements in efficiency and reliability.
  • No Thumbnail Available
    Item
    Model predictive control for FSTP inverter-fed induction motor
    (Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE), 2023) Hammadi, Ayat Errahmane; Chalah, Samira (supervisor)
    The rapid growth of electric motor-driven systems has led to an increasing demand for high-performance control strategies that provide efficient and precise operation. Model Predictive Control (MPC) and Direct Torque Control (DTC) have gained significant attention due to their ability to provide fast and accurate control in various industrial applications. The primary objective of this work is to analyze and implement Model Predictive Torque Control (MPTC) for a three-phase induction machine powered by a Four- Switch Three-Phase (FSTP) inverter. The investigation begins with a review of the state-of-the-art on the FSTP inverter and predictive control, highlighting various applications of predictive control. Subsequently, Model Predictive Current Control (MPCC) and MPTC are employed to control an RL-load and an induction machine, respectively, both driven by the FSTP inverter. This work presents a comparative analysis between MPTC and Direct Torque Control (DTC) methods. Simulation of these techniques were then carried out using MATLAB/Simulink software and the obtained results analyzed and discussed to confirm the validity of the proposed techniques.
  • No Thumbnail Available
    Item
    Identification and control of asynchronous motor using meta-heuristic algorithms
    (2023) Ghernaout, Rayane; Kheldoun, Aissa (Supervisor); Belmadani, Hamza
    The present study is centered on the examination, regulation, and enhancement of induction motors (IMs) through the application of meta-heuristic algorithms. The aim of this study is to optimize the performance and efficiency of induction motors (IMs) in various applications. The study begins with the formulation of a mathe- matical model for induction motors (IMs). Subsequently, meta-heuristic algorithms, namely EO, RSBA, and JAYA, are employed to determine the parameters of the IM.The estimation of parameters is conducted by utilizing the inputs of measured stator voltages, currents, and rotor speed. This study focuses on the modeling of indirect rotor flux-oriented control(IRFOC )and the utilization of the resulting IM param- eters to identify the motor. Control gains are then optimized through the imple- mentation of RSBA and JAYA algorithms. The findings of the simulation indicate that the system’s performance has been enhanced in comparison to conventional manual tuning techniques. The project acknowledges the difficulties involved in the optimization process and emphasizes the significance of meticulous parameterse- lection. In summary, this study serves as a valuable contribution to the progression of IM technology, highlighting its potential to enhance performance and efficiency in industrial settings.
  • No Thumbnail Available
    Item
    Maximum power point tracking of single stage solar water pumping system under partial shading condition
    (2023) Sabeur, Anis; Amraoui, Oussama; Ammar, Abdelkarim (Supervisor)
    This work presents a comprehensive investigation of a single-stage battery-less stand-alone solar water pumping system, utilizing an induction motor for pump operation. A double function voltage source inverter (VSI) controlled by a switching table based on direct torque control (DTC), and employing Maximum Power Point Tracking (MPPT) techniques to optimize system performance. The primary objective is to evaluate the system's behavior and efficiency under normal and shaded conditions by implementing various MPPT algorithms, including Perturb and Observe (P&O), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO). The research begins with an in-depth analysis of the system components, including the solar panels, inverter, induction motor, and MPPT algorithms. Theoretical aspects of the induction motor, VSI, DTC, and MPPT techniques are studied to establish a solid understanding of their interactions within the solar water pumping system. A test setup is implemented, simulating real-world scenarios to evaluate the system's response and efficiency. Data is collected, and comparative analysis are performed to determine the effectiveness of each MPPT algorithm in terms of tracking the maximum power point, optimizing power output under partial shading condition.
  • No Thumbnail Available
    Item
    Speed control of induction motor using three fuzzy logic-based controllers
    (2021) Yahia, Amina; Bouyahia, Hadjer; Boushaki, Razika (supervisor)
    This work portrays the methods for controlling an induction motor using three different types of fuzzy controllers: single-stage fuzzy controller; fuzzy-PID controller and adaptive- fuzzy-PID controller. The comparative performance of these three techniques has been presented and analyzed in this work. The proposed scheme uses indirect field oriented control and is simulated using MATLAB. The IFOC accepts two inputs: the reference torque from the speed controller and the measured current feedback. Using the Clark and Park transformations, the current is transformed from the three phase to the rotating reference frame. The new reference currents are then measured before being transformed back to the three phase using inverse Park and Clark. The new reference current will be fed to the hysteresis current controller for current tracking then to the three-phase inverter. Finally, the inverter is connected to the squirrel cage induction motor. The first speed controller consists of a simple single-stage fuzzy controller. This fuzzy controller regulates the output torque depending on the error and error ratio ranges, which are chosen according to the if-then rules. The second controller demonstrates the speed control using a fuzzy-PID control. A PID controller is connected to the fuzzy controller. The gain parameters of the PID are fixed. The third controller displays the Adaptive-fuzzy PID controller. It is also called multiple-stage controller since three fuzzy blocks are used. Each controller is used to adjust the gain values of the PID, depending on the changes in the error and error ration. The ranges of the membership functions are determined using error-and-trial method. Then the PID uses these gain values, alongside the error value to calculate the torque value.
  • No Thumbnail Available
    Item
    Fuzzy-PID speed controller for an induction motor
    (2020) Bougheloum, Dhya Eddine; Benyahia, Sofiane; Boushaki, Razika (supervisor)
    The main objective of vector control or field-oriented control (FOC) control is to have decoupled control of flux and torque in three phase induction motors. FOC rotates the stationary stator reference frame into rotating reference frame attached to the rotor flux linkage space phasor which results in a decomposition of stator currents into torque and flux producing components under orthogonality. This will give fast dynamic response as compares to other scalar drives i.e. variable frequency drive (V/F). This project presents a Fuzzy-PID control system for the speed control of a three-phase squirrel cage induction motor. The proposed method uses both Fuzzy logic and conventional controllers along with vector control technique. This method combines the advantages of the fuzzy logic controller and conventional controllers to improve the speed response of the induction motor. The FLC observes the closed loop error signal and then controls the PID input error signal so that the actual speed matches the reference speed with reduced rise time, settling time, and peak over shoot. Implementation and simulation results using MATLAB of multiple controllers such as (PID, Fuzzy, and Fuzzy-PID) are compared along with conventional PI controller in terms of some performance measurements such as rise time (tr), maximum percent overshoot (Mp), settling time (ts), and steady state error (Ess) at various load conditions. The results of the simulation verified the effectiveness of the proposed speed controller model under different operating conditions and demonstrated improvements in performance in speed tracking and system's stability.
  • No Thumbnail Available
    Item
    Design and implementation of direct torque control of induction motor drive
    (2018) Rouidjali, Imene; Rezki, Abdelaziz; Metidji, Brahim (Supervisor)
    The direct torque control was proposed as an alternative strategy to the field-oriented control for AC machines drive. This method consists on the direct determination of inverter switching states and offers a simpler and robust scheme and less sensitivity to machine parameters as it depends only on the stator resistance. In this work, the direct torque is presented for induction motor drive fed by two-level voltage source inverter. The control algorithm has been investigated through simulation and experimental tests. The simulation part was carried out using MATLAB/Simulink software, the obtained results shows the effectiveness of this method. Moreover, the generic