Browsing by Author "Boushaki, Razika (Supervisor)"

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Active surge control of the compressor recycle system using feedback linearization
(2016) Hemchi, Oussama; Tebba, Assam; Boushaki, Razika (Supervisor)
Surge control in the centrifugal compressor recycle system is our main focus in this project. Surge is a term that is used for instability or oscillation through a compressor and is highly unwanted. The recycle system feeds compressed gas back to the intake via the recycle valve to ensure the safety of the system. A mathematical model of the recycle system which contains the compressor characteristic is extended and simulated in SIMULINK. The recycle system is proven to be stable as long as the slope of the compressor characteristic is negative. Two control techniques were used: The first is Surge Avoidance in which a PID controller keeps the operating point far from the unstable region and ensure the total safety of the system. The second method is Active Surge Control in which feedback linearization method is used to linearize the system then linear controllers were used to stabilize the system near the unstable region where efficiency is high.
Adaptive PID fuzzy logic control of the recycle compression systems
(2016) Lahbiben, Yasmine; Ouacif, Hadjer; Boushaki, Razika (Supervisor)
Centrifugal compressors play an integral role in the oil and gas industry, helping power the multiple processes that convert oil and gas into thousands of practical products. These types of compressors can encounter a very dangerous and detrimental problem called surge. This work deals with the study of Centrifugal compressor surge and its prevention. In order to avoid the surge occurrence and ensure compressor’s operation in the stable region with maximum efficiency, appropriate techniques are considered based on PID regulator. Classical PID controllers remain one of the simplest, most effective, robust, and easily certifiable control strategies. However, this simplicity comes with a price. Design tradeoffs between integral and derivative gain in a linear PID controller often make it difficult to achieve optimal performance. To solve this problem, the design of a multistage fuzzy PID controller is proposed in this thesis. The simulation results show the effectiveness of the multistage fuzzy PID controller in maintaining the speed and stability of the system.
Altitude backstepping control of quadcopter
(2018) Hamza, Younes; Boushaki, Razika (Supervisor)
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.
Control design and visual autonomous navigation of quadrotor
(2018) Boughellaba, Mouaad; Rabah hazila, Ramzi; Rabah hazila, Ramzi; Boushaki, Razika (Supervisor); Boushaki, Razika (Supervisor)
Starting from the fact that quadrotors are nonlinear MIMO system that operates in 3D space, the task of stabilizing and generating suitable control commands have been the interest of many researches. Another challenging task is the autonomous navigation as both the weight and the computation capacity are limited which constrains the type of sensors and algorithms. In this project, an autonomous navigation and obstacle avoidance system based on monocular camera has been implemented which enables the quadrotor navigates in previously unknown GPS-denied environment. Moreover, four controllers have been designed and their performance were compared.The mathematical model of a quadrotor has been derived using Newton’s and Euler’s laws, where a linear and nonlinear version of the model are presented, based on that various control strategies such as LQR, PID, Feedback Linearization with pole placement and Sliding Mode control Have been implemented in MATLAB/Simulink and discussed. Sensor data and the camera video stream have been used by a Keyframe visual SLAM system to compute the location of the drone and generate the 3D map of the environment in the form of point cloud. This point cloud data is clustered and used for obstacle detection. Moreover a PRM algorithm has been used to generate a collision-free path that will be followed by the drone based on the PID controller designed. We implemented our approach on a real Parrot ARDrone2.0, and our approach has been validated with experiments. All computations are performed on a ground station, which isconnected to the drone via wireless LAN.
Optimization and Control of Recycle Compression systems using PSO algorithm and PID controller
(2016) Idoughi, Achour; Abdennacer, RamdaniI; Boushaki, Razika (Supervisor)
Centrifugal compressors are the most satisfactory and the widely used in oil and gas companies, however, stable operation of this type of compressors is limited towards low mass flows by the occurrence of an aerodynamic compressor flow instability called the surge. This instability can lead to severe damage of the machine due to large mechanical and thermal loads in the blading, and restrict its performance and efficiency. In this thesis, a method of controlling the stability of a compression system and optimising its efficiency was presented and developed. Before going through the controlling and the optimising parts of the work, elementary definitions of compressors and surge have been presented. A mathematical model of Greitzer has been used to model our compression system and, using Matlab Simulink, the compressor’s model has been built up. As most industries nowadays are using the PID controller to ensure the stability of compression systems, the classical solution (the use of the PID controller) to eliminate surge has been explored. To increase the output discharge pressure of the compressor, thus increase the compressor’s efficiency, the particle swarm-optimising algorithm (PSO) is introduced along with the PID controller to the Simulink model. The PID did stabilise the system in a short time. However, when using it, the compressor’s pressure ratio was quite low. This was overcame once using the PSO, where an acceptable pressure ratio was obtained.
Robust Passivity-based control of active surge
(2016) Malki, Mohammed Lamine; Yahamdi, Mohammed Amin; Boushaki, Razika (Supervisor)
In this work, we address the stability of compression systems and the active control of surge, considering the Moore-Greitzer model with recycling valve. Despite considerable efforts to stabilize centrifugal compressors at efficient operating points, preventing surge is still a challenging problem. Here, a passivity-based control is suggested to robustly stabilize the used model for centrifugal compressors. In this project we have showed that we can use the recycle valve as an active surge actuator and the results were successful. After that, classical solution (the use of the PI controller) has been explored in addition to the use passivity-based control as a new type of controllers. Talking then in terms of performance and robustness, the passivity-based control has achieved these two goals. Simulation of the obtained results is done with Simulink.
Smart Speed Limit Sign Powered by Solar Energy
(2021) Chebahi, Manel; Bousselidj, Sabir; Boushaki, Razika (Supervisor)
This report opens up a new field of research called “Intelligent Transport Systems” which is an interactive system for the collection, processing and dissemination of information applied to the field of transportation an interactive system for the collection, processing and dissemination of information applied to the field of transportation. As we know, speed is a central issue in road safety. In fact, speed is involved in all accidents: no speed, no accidents. Speed has been found to be a major contributory factor in around 10% of all accidents and in around 30% of the fatal accidents. Both excess speed (exceeding the posted speed limit) and inappropriate speed (faster than the prevailing conditions allow) are important accident causation factors. This work tries to solve this problem by realizing an intelligent speed limit panel; which can determine the suitable speed for a safe driving according to the weather conditions and road characteristics. To do this we have used special kinds of sensors to collect information from the external environment then transmit it to the main unit where the system can decide the real time speed limit and display it for the drivers. Finally, we moved on to the testing part where we demonstrated the effectiveness of our solution and its future extension.