Institut de Génie Electrique et d'Electronique
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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.Item Quadcopter stabilization using PID controller(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Rezkellah, Rabah; Loubar, Hocine(supervisor)During the last decade, quadcopter have been extensively used for many applications. A quadcopter is an under-actuated system because it uses four actuators to control six degrees of freedom, it is also considered as highly coupled and nonlinear system. Therefore, the design of a controller for the stabilization of the quadcopter during vertical flight represents a real challenge. The purpose of this work is to design and practically implement Proportional-Derivative-Integral (PID) control techniques, in order to control a quadcopter during vertical flight .I naddition ,w einvestigat eth eeffe ct ofP IDparamet ertuni ngon stability performance of the quadcopter system and the practical constraints encountered at differen tstage so fth ehardware/softwar eimplementatio nproces so fth equadcopter system, and propose suitable solutions. In this work, an ESP32 microcontroller was used as the main control unit. In addition, the MPU6050 Inertial Measurement Unit (IMU) was used to estimate the tilt angles of the quadcopter. Three PID controllers have been designed for each tilt axis, to maintain the quadcopter leveled during vertical flight.Item Optimization of AGC parameters in interconnected power systems using enhanced marine predators algorithm(2023) Ferdjallah, Cheima; Mokri, Silia; Kheldoun, Aissa (Supervisor)In this work, an objective function considering performance indices and an enhanced marine predator algorithm ( EMP A ) are proposed to optimize the parameters of a Fuzzy - PID controller for Automatic Generation Control of interconnected power systems. Ini- tially, a two-area non-reheat unit was implemented, and the gains of five different controllers were adjusted to verify the suitability of MP A employing IT AE objective function in solving AGC issues. The superiority of the proposed MP A based F - P ID controller has been demonstrated by comparing the results with some recently published modern heuristic optimization techniques such as water cycle algorithm ( W CA ) based F - P ID controller for the same interconnected power system. EMP A - F - P ID method which integrates EMP A and F - P ID controller is tested in a typical two-area non-reheat system, and sys- tem responses reflect the advantages of the proposed objective function and EMP A . Then, sensitivity analysis is carried out to identify the closed-loop system’s robustness. A two-area non-reheat unit was also tested under the generation rate constraints ( GRC ) nonlinearity. To guarantee the suitability of the proposed MP A - F - P ID , a model with a mixture of power plants, such as reheat, hydro, and gas units, in each area was carried out with and without the HV DC link, which can increase practical issues with AGC . The proposed controller’s robustness was studied for all models under numerous scenarios, including step load perturbations ( SLP ). Simulation results proved that the proposed MP A - F - P ID provided superior performance compared to recently reported techniques in terms of peaks and settling time.Item Adaptive control for disturbance rejection in quadrotors.(2021) Recham, Zine Eddine; Amrouche, Hafid; Boushaki, Razika (supervisor);In order to fix the issue of precise trajectory tracking control for a quadrotor in the influence of environmental disturbance and system model parameter uncertainty, three control techniques were developed to control the quadrotor’s altitude, heading and position in space; the Proportional-Integral-Derivative or PID controller, the sliding mode controller and the backstepping controller. Simulation based experiments have been performed using MATLAB/SIMULINK to evaluate and compare between the three developed techniques in terms of dynamic performances, stability and disturbance effects.Item Optrimal design of PID parameters for automatic voltage regulator using metaheuristics(2021) Aklouchi, Yasser; Hadj Ali, Amar; Kheldoun, Aissa (Supervisor)Application of classical PID and fractional order PID (FOPID) controller to an automatic voltage regulator (AVR) is presented and studied in this project. Fractional-order PI?Dµ controller is a generalization of standard PID controller using fractional calculus. Compared to PID controller, the tuning of FOPID is more complex and remains a challenging problem. This project proposes some population based optimization metaheuristics algorithms called Ant Lion Optimizer algorithm (ALO), Particle Swarm Optimizer algorithm (PSO) and Grey Wolf Optimizer algorithm (GWO) for solving the PID and FOPID controller tuning problem. ALO has proved to have very high efficiency and FOPID provide good control performance with respect to reference input and improve the system robustness with respect to model uncertainties after comparison are made.Item A single phase active power factor correction using interleaved boost converter(2021) Baaziz, Adel; Elahcene, Bilal; Ammar, Abdelkarim (Supervisor)DC power supplies are extensively used inside most of electrical and electronic appliances such as in computers, televisions, audio sets and others. And the electrical energy available in the utility grid is not suitable for direct use. So in particular, applications requiring DC source must involve an interface device between the AC power line and the load requiring the DC voltage. Conventional AC/DC conversion involves diode rectifiers with large capacitor to reduce DC voltage ripple. The filter capacitor reduces the ripple present in the output voltage but draws non sinusoidal line current which reduces the power factor. Therefore, power factor correction (PFC) techniques are gaining increasing attention. This project introduces one of the most popular topologies for active PFC which use a boost converter to draw a continuous input current. This input current can be manipulated by average current mode control technique. But there is ripple in the input current due to inductor of boost converter, this can be minimized by using two phase interleaved boost converter. This project applied the average current mode technique to control two channels interleaved boost converter in continuous conduction mode using PI controller. The simulation results show that the applied topology provides high power factor and low THD.Item Safe navigation of a differential drive mobile Robot using a PID controller(2020) Nekkache, Tarek; Haciane, Sofiane; Hachour, O. (supervisor)The autonomous wheeled mobile robots are very interesting subject both in scientific research and practical applications. They are considered from several different perspectives mainly, engineering and computer science levels. This project deals with the modeling and control of mobile robots combining the differential drive robot and unicycle models which will be simulated using a PID controller. The PID controller is based on feedback and tries to minimize the error using well-tuned parameters. The Odometry has been used to identify the distance traveled by the robot. The sensing circuitry mounted on the robot provides the feedback data to assure a safe outdoor navigation in a hostile environment. The Hybrid Automata principle provides a switching logic between the designed controllers. In this report, linear algebra is applied to develop a satisfying and stable model which is simulated using a MATLAB based simulator called "Sim.I.am" that allows the design and implementation of controllers on the robot.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.Item PID controlller tuning using DE and PSO optimization techniques(2016) Alem, Mohamed Mounir; Saidoun, Hakim; Ouadi, Abderrahmane (Supervisor)The PID controllers are the most popular and widely used controllers in industry because of their simplicity; robustness and successful practical application that can provide excellent control performance despite the varied dynamic characteristics of plant .Determination or tuning of the PID parameters continues to be important as these parameters have a great influence on the stability and performance of the control system. Most of the processes are complex and nonlinear in nature resulting into their poor performance when controlled by traditional methods. The need for improved performance of the process has led to the development of optimal controllers. In this project, two modern heuristic techniques which are particle swarm optimization (PSO) and Differential evolution algorithm (DE) are used for tuning and optimizing PID parameters. A classical method, which is Ziegler and Nichols method, is also used. Finally, a comparison is made between classical method (ZN) and optimization methods (PSO and DE) are applied on high order system, the proposed methods were indeed more efficient and robust in improving the control performances of the PID algorithm.Item Design and implementation of 3-DOF helicopter bench test system(2019) Sayeh Meddour, Yasser; Belghait, Naim; Ouadi, A. (Supervisor)The scope of this project is to control the speed and the direction of dc motor using H-bridge and PWM and developing a mathematical model for the motor. It is asked to develop a 3-DOF (3 Degree Of Freedom) helicopter for laboratory experiment which is often used in control research education and analysis for the design and implementation of linear and non-linear control concepts. It is composed by three rotational joints, with the end bar carrying a pair of propellers actuated by DC motors. Measurements of the joints angles are supplied by incremental encoders. Two speed controllers based on Hbridges drivers for actuating the DC motor/propeller assemblies. Both angular measurements and control voltages provided by PC based hardware interfaces and software LABVIEW programs. Based on the identified model, a PID controller has been developed to control the speed of the motor. The simulation results show that the designed control system can guarantee high precision altitude and a good control under multi operation points