Optimal Control Design-based Grey Wolf Optimization Algorithm for Suspension System in Electric Vehicle

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dc.contributor.advisorBabangida, Aminu
dc.contributor.authorAbdurrahman, Faisal Haruna
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-12-17T15:03:02Z
dc.date.available2025-12-17T15:03:02Z
dc.date.created2024-12-02
dc.description.abstractThis research focuses on improving electric vehicle suspension systems using optimal control design based on Grey Wolf Optimization (GWO). It integrates a PID Controller, optimized by the GWO algorithm, with a passive suspension system to better handle road disturbances. The goal is to enhance ride comfort and maintain consistent road-wheel contact by reducing the impact of surface irregularities. Additionally, the study compares the performance of the GWO-PID system with a Model Predictive Contol (MPC) system. The comparison is evaluated using the Integral-Time weighted Absolute-Error (ITAE) as the fitness function.
dc.description.courseMechatronical Engineeringen
dc.description.degreeBSc/BA
dc.format.extent50
dc.identifier.urihttps://hdl.handle.net/2437/400958
dc.language.isoen
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectGWO, PID, MPC
dc.subject.dspaceEngineering Sciences
dc.titleOptimal Control Design-based Grey Wolf Optimization Algorithm for Suspension System in Electric Vehicle
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