H
H. Jamaluddin
Researcher at Southern University College
Publications - 10
Citations - 168
H. Jamaluddin is an academic researcher from Southern University College. The author has contributed to research in topics: Control theory & PID controller. The author has an hindex of 7, co-authored 10 publications receiving 138 citations. Previous affiliations of H. Jamaluddin include Universiti Teknologi Malaysia.
Papers
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Journal ArticleDOI
Effects of control techniques and damper constraint on the performance of a semi-active magnetorheological damper
TL;DR: In this article, a number of semi-active control algorithms namely modified skyhook, modified groundhook and modified hybrid skyhook-groundhook controllers are evaluated to be used with a magnetorheological damper.
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Application of a self-tuning fuzzy PI–PD controller in an active anti-roll bar system for a passenger car
TL;DR: It is found that the STF PI-PD controller is able to suppress the derivative kick problem but could not reduce the roll motion as much as the conventional fuzzy PID would, however, the PI–PD-type fuzzy controller outperforms the rest by improving ride and handling of a simulated passenger car significantly.
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Vehicle ride performance with semi-active suspension system using modified skyhook algorithm and current generator model
Saiful Anuar Abu Bakar,H. Jamaluddin,Roslan Abd. Rahman,Pakharuddin Mohd. Samin,Khisbullah Hudha +4 more
TL;DR: In this article, the simulation of a semi-active suspension system by using designed parameter model of magnetorheological (MR) damper has been presented, which is based on the performance of the original equipment shock absorber of a passenger vehicle.
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Modelling, validation and adaptive PID control with pitch moment rejection of active suspension system for reducing unwanted vehicle motion in longitudinal direction
TL;DR: In this article, the authors provide a detailed derivation of a full vehicle model, which may be used to simulate the behaviour of a vehicle in longitudinal direction, and the results of model validation show that the trends between simulation results and experimental data are almost similar with acceptable error.
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Non-parametric linearised data driven modelling and force tracking control of a magnetorheological damper
TL;DR: In this paper, a non-parametric linearised data driven (NPLDD) approach is presented to model the dynamic performance of magnetorheological (MR) damper.