Contrôle

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/3081

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Author: search.filters.author.Boushaki, Razika (supervisor)Subject: search.filters.subject.PID controller

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    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.
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    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.
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    Modeling and control of mini unmanned aerial vehicles (UAV)
    (2019) Dorbane, Sedik; Ait Said, Azouaou; Boushaki, Razika (supervisor)
    In this work, a detailed mathematical model for a Vertical Takeoff and Landing type Unmanned Aerial Vehicle known as the quadrotor is presented. The nonlinear dynamic model has been derived using Newton's and Euler's laws. Three control approaches were developed to control the altitude, attitude, heading and position of the quadrotor in space. The first approach is based on a linear Proportional-Integral-Derivative (PID) controller. The second developed controller is a nonlinear Back-stepping controller while the third one is a gain Grain-Scheduling based PID controller. The Genetic Algorithm technique has been used to get an optimal tuning for the fore mentioned controllers (gains and parameters) and, hence, improving the dynamic response. Simulation based experiments were conducted using MATLAB to evaluate and compare between the three developed control techniques in terms of dynamic performance, stability and possible disturbances effect.