Hallgatói dolgozatok (MK)
Állandó link (URI) ehhez a kategóriához
Böngészés
Hallgatói dolgozatok (MK) Szerző szerinti böngészés "Almusawi, Husam"
Megjelenítve 1 - 5 (Összesen 5)
Találat egy oldalon
Rendezési lehetőségek
Tétel Korlátozottan hozzáférhető Control and data processing of creep test machineMadbak, Hanna; Almusawi, Husam; DE--Műszaki KarThe Department of Mechanical Engineering was assigned an industrial project that involves measuring the deformation of pipelines over a period of 42 days under constant stress. In response to this requirement,a creep test machine was designed and constructed. However, given the need to take multiple measurements at specific intervals, it is challenging for an individual to be present throughout the entire duration. Therefore, Automating the entire process was the ideal solution.Tétel Korlátozottan hozzáférhető Development of Admittance Control for Collaborative Robot ApplicationsIbrahim, Menatalla; Almusawi, Husam; DE--Természettudományi és Technológiai KarEfficiently compared PD, PID, and computed torque controllers for robotic arm trajectory control.Tétel Korlátozottan hozzáférhető Development of an optimal energy management strategy for a Jetta MK5 hybrid vehicleSilavinia, Alaa; Almusawi, Husam; Aminu , Babangida; DE--Műszaki KarThis thesis employs MATLAB/Simulink/Simscape for a simulation analysis, aiming to determine the optimal fuel efficiency for parallel hybrid electric vehicles. The simulation model integrates theoretical frameworks and actual data to precisely assess hybrid powertrain performance across diverse driving conditions. Model accuracy is verified by comparing simulation results with experimental data. The thesis shows the impact of key parameters such as battery capacity, electric motor power, engine specifications, vehicle body, and driving cycles on hybrid electric vehicle fuel economy. The findings suggest that parallel hybrid electric vehicles can achieve notably high fuel efficiency. The thesis proposes a dynamic method for developing the powertrain of parallel-hybrid cars, incorporating real-world measurements and a genetic algorithm to optimize Proportional Integral Derivative parameters for synchronous motor regulation.Tétel Korlátozottan hozzáférhető Development of the extended Kalman Filter for Robotic NavigationAmeh, Eineje; Almusawi, Husam; DE--Műszaki KarThis paper explores advances in autonomous navigation, emphasizing its crucial role in self-driving vehicles, unmanned aerial vehicles, and spacecraft. The focus is on leveraging the Extended Kalman Filter (EKF) to enhance precision and reliability in non-linear dynamic systems. The EKF, an extension of the Kalman Filter, addresses real-world non-linearities by integrating linearization, enabling accurate state estimates. The study underscores the EKF's effectiveness through in-depth scenario analyses, showcasing its contribution to improved navigation accuracy. By applying the recursive EKF algorithm, which incorporates noisy sensor measurements and system dynamics, the research aims to elevate the reliability and precision of state estimation in dynamic systems. Notably, the study highlights the importance of linearizing equations for accurate state estimation in complex and dynamic environmentsTétel Korlátozottan hozzáférhető Swarm RoboticsElkabat, Samer; Almusawi, Husam; DE--Műszaki KarSwarm robotics, inspired by the collective behavior of insects and animals, provides a model for efficient task completion. This summary represents a robotic approach to the positioning, localization, and communication of the swarm using a combination of infrared radiation, inertial measurement unit (IMU), and ESP-NOW communication protocol. The primary focus is to enable coordinated task performance within the swarm while establishing an accurate and reliable localization system. This methodology uses an emitting leader as the main position reference point.