Browsing by Author "Zammoum Boushaki, Razika"

Now showing 1 - 7 of 7

Active surge control of the recycle compression system by hybrid adaptive controller
(IEEE, 2019) Aribi, Yacine; Zammoum Boushaki, Razika; Loubar, Hocine
Centrifugal compressors are a Type of widely used compression systems for industrial gases. Practically, centrifugal and axial compressors often suffer huge and irreversible damages due to a major non-stability feature widely known as surge. In this paper, a control strategy is proposed in order to avoid falling into surge and to recover the system from deep surge state. An auto-tuned, PID-Based, model free approach based on Multi-stage Fuzzy Inference system is used to provide a real-time tuning for PID parameters in order to achieve optimal control for the Compression system’s recycle valve. The proposed control solution comes to prevent the system from falling into surge and shows promising results while recovering the system back into stability and maintaining stable operating point. Furthermore, a stable and robust, model free control, has been achieved for deep surge control
Adaptive fuzzy inference control of the recycle compression system
(Praise Worthy Prize, 2014) Zammoum Boushaki, Razika; Zamoum, Y.; Chetate, Boukhmis
Altitude Back-stepping control of quadcopter
(IEEE, 2019) Loubar, Hocine; Zammoum Boushaki, Razika; Aribi, Yacine; Kouzou, Abdellah
This work deals with the study of the stabilization process of a nonlinear control system taking a certain model and derive state space equations through implementation of kinetic and dynamic equations where we present a challenging tool known as backstepping controllers based on Energy functions concept as presented by the famous Russian mathematician Lyaponuv. Simulation of the obtained results is done with Simulink
Artificial neural network control of the recycle compression system
(2014) Zammoum Boushaki, Razika; Chetate, Boukhmis; Zamoum, Y.
Modeling and control of UAV quadrotor
(IEEE, 2019) Zammoum Boushaki, Razika; Aribi, Yacine; Loubar, Hocine; Hamza, Younes; Kouzou, Abdellah
Since the advances in technologies and the ability to manufacture miniature sensors and controllers using the Micro-Electro-Mechanical Systems (MEMS) technologies, there have been a lot of advances in the Unmanned Aerial Vehicle (UAV) area. A lot of the research conducted focused on the quadrotor due to its previously mentioned advantages of easier manufacturing, compactness and maneuverability among others. a detailed description of the dynamic modelling of the Quadrotor is presented. Various control strategies like the Proportional Derivative Control, the Sliding Mode Control and the Backstepping Control methods have been elucidated and implemented in MATLAB and SIMULINK. Simulations have been carried out and the results have been presented
Modeling and simulation of three control techniques for UAV quadrotor
(IEEE, 2019) Loubar, Hocine; Zammoum Boushaki, Razika; Aribi, Yacine; Azouaou, Ait Said; Dorbane, Sedik; Kouzou, Abdellah
This paper presents the modeling of a four rotor type unmanned aerial vehicle (UAV) called the quadrotor and three techniques to control its altitude, attitude, heading and position. The dynamic model of the quadrotor is nonlinear and has been derived using Newton's and Euler's laws. The first approach is designed using a linear Proportional-Integral-Derivative (PID) control technique. The second approach is based on a nonlinear Back-stepping controller while the third one is a gain Gain-Scheduling based PID controller. The Genetic Algorithm technique has been used to get an optimal tuning for the gains and parameters of the three mentioned controllers. MATLAB/Simulink software was used to evaluate and compare the three designed control approaches in terms of the stability, the effect of possible disturbances and the dynamic performance
Optimization of the compression systems using genetic algorithm
(IEEE, 2016) Zammoum Boushaki, Razika; Kessal, Farida; Bentarzi, Hamid