Optimal Control Design for Mechatronics Vehicle Suspension System

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dc.contributor.advisorBabangida, Aminu
dc.contributor.authorSoliman, Mina
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-09-04T16:04:51Z
dc.date.available2025-09-04T16:04:51Z
dc.date.created2024
dc.description.abstractThis thesis focuses on optimizing vehicle suspension systems by comparing Passive, Traditional PID, Fuzzy-PID, and PSO-PID controllers. The study evaluates key metrics such as Tire Deflection, Body Displacement, Body Acceleration, Suspension Travel, and Actuator Force under various road disturbances. Simulation results show that Fuzzy-PID and PSO-PID significantly outperform Passive and Traditional PID controllers by reducing oscillations, stabilizing faster, and enhancing ride comfort. The analysis emphasizes the trade-offs between system performance and energy efficiency. These findings demonstrate the potential for advanced controllers to improve modern vehicle dynamics, ensuring both safety and passenger comfort.
dc.description.courseMechatronical Engineeringen
dc.description.degreeBSc/BA
dc.format.extent80
dc.identifier.urihttps://hdl.handle.net/2437/397284
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectActive suspension
dc.subjectFuzzy-PID
dc.subjectPSO-PID
dc.subject.dspaceEngineering Sciences
dc.titleOptimal Control Design for Mechatronics Vehicle Suspension System
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