Pakharuddin Mohd. Samin

Bio: Pakharuddin Mohd. Samin is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Magnetorheological fluid & Magnetorheological damper. The author has an hindex of 11, co-authored 56 publications receiving 354 citations.

Effects of control techniques and damper constraint on the performance of a semi-active magnetorheological damper

Abstract: Semi-active dampers change their damping force in real time by simply changing the damping coefficient according to a control policy. In this study, 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. The effectiveness of these control algorithms in disturbance rejection are investigated along with their ability to consistently provide the target force in the same direction with the damper velocity to overcome the damper constraint. From the simulation and experimental results, the modified hybrid skyhook-groundhook controller shows significant improvement in body acceleration, body displacement, suspension displacement without allowing excessive wheel acceleration magnitude. The modified hybrid skyhook-groundhook controller is also superior to the counterparts in overcoming the damper constraint by producing the target forces consistently in the same sign with the damper velocity.

Vibration control of semi-active suspension system using PID controller with advanced firefly algorithm and particle swarm optimization

Abstract: Magnetorheological (MR) damper control for semi-active system is one of the areas of interest investigated to improve the ride comfort and stability of vehicle performance Many types of controllers used to control the semi-active MR damper have recently been investigated by previous researchers It is found that the improper design of control scheme has led to an unpredictable optimum target force Therefore, this study aims to investigate an intelligent optimizer called advanced firefly algorithm (AFA) to compute the proportional-integral-derivative (PID) controller for semi-active suspension system The performance of the PID controller with the AFA tuning was investigated and compared to the original FA technique and other conventional and intelligent optimizers as well as non-PID controller namely as heuristic method, particle swarm optimization (PSO) and Skyhook controller A MATLAB Simulation environment was used to generate the simulation model of semi-active suspension system complete will all control elements The study of the controllers has shown a significant improvement as the proposed PID-AFA is capable of reducing the amplitude of the sprung acceleration and body acceleration responses up to 565% and 671%, respectively compared to PID-HEURISTIC, PID-FA, PID-PSO, Skyhook and passive systems

Synthesis, characterization and magnetorheological properties of carbonyl iron suspension with superparamagnetic nanoparticles as an additive

Abstract: Magnetorheological (MR) fluids are suspensions of micron-sized particles dispersed in carrier fluid. Due to high density magnetic particles, MR fluids are facing the problem with the instability of the suspension caused by high settling rate. Recently, researches have been conducted on the advantages of using the mixture of magnetic nanoparticles and microparticles, called bidisperse MR fluids. However, even though the sedimentation stability is improved, there is a reduction in dynamic yield stress when the nanoparticle is introduced. In this work, the investigation of magnetic iron nanoparticles (γ-Fe2O3) as an additive to magnetic carbonyl iron (CI) suspension has been proposed so as to improve the sedimentation stability and redispersibility, but at the same time enhance the MR performance. The results indicated that the addition of nanoparticles reduced the sedimentation rate, improved redispersibility and enhanced the rheological performance of MR fluids as the particle fill the voids between the microparticles and strengthened the interparticle chains contributing to well-arranged particle structures

A novel thermal regulation method for photovoltaic panels using porous metals filled with phase change material and nanoparticle additives

Abstract: The main problem with different types of PV cells is that they heat up beyond their optimal working temperature and thereby reduce their power generation efficiency. PV panel's thermal regulation utilising phase change material (PCM) has been a popular choice to counter the problem; however, the low thermal conductivity of PCMs is still an open challenge to fully exploit these materials as a potential solution. The effects of dispersing nanoparticles within the combination of PCM and copper foam matrix (CFM) on the PV panel performance was studied experimentally, under the climatic condition of Baghdad's city centre as a case study of a hot climate region. The results demonstrate the effect of the bundles of tangled tubes of the multi-walled carbon nanotubes (MWCNTs) additives with a 0.2% concentration ratio within the PCM/CFM, greatly improved the effective thermal properties of the material through the absorption and the rejection of heat. As a result, the electrical performance of the cells improves, which lead to an increase in the average electrical efficiency of the PV panel from 4% to 21% on the test day, when compared to the PV panels without passive cooling materials.

Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving

Abstract: We present an information-theoretic approach to stochastic optimal control problems that can be used to derive general sampling-based optimization schemes. This new mathematical method is used to develop a sampling-based model predictive control algorithm. We apply this information-theoretic model predictive control scheme to the task of aggressive autonomous driving around a dirt test track, and compare its performance with a model predictive control version of the cross-entropy method.

Integrated Control of Suspension and Front Steering to Enhance Vehicle Handling

Abstract: Integration of vehicle chassis control system has gained increasing attention since it can improve the vehicle safety and performance through effective coordination of individual control systems. This paper presents the development of an integrated control system of active front steering and normal force control using fuzzy reasoning to enhance the vehicle-handling performance. Individual control systems were first developed, and then their performances were compared with that of the integrated system. The simulation results indicate that the integrated chassis control scheme utilizing the steering and suspension controllers has proven to be more effective in attaining the desired performance that would not be attained individually.

Magnetorheology: a review.

Abstract: Magnetic Soft Matter is a rapidly evolving discipline with fundamental and practical interest. This is due to the fact that its physical properties can be easily controlled through external magnetic fields. In this review paper, we revisit the most recent progress in the field (since 2010) emphasizing the rheological properties of these fascinating materials. New formulations and flow kinematics are discussed. Also, new members are integrated into the long-lived magnetorheology family and suggestions are provided for future development.

Multibody Systems Approach To Vehicle Dynamics

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