Mat Hussin Ab Talib

TL;DR: An intelligent optimizer called advanced firefly algorithm (AFA) is investigated to compute the proportional-integral-derivative (PID) controller for semi-active suspension system and has shown a significant improvement as the proposed PID-AFA is capable of reducing the amplitude of the sprung acceleration and body acceleration responses.

TL;DR: This paper presents a new approach for intelligent fuzzy logic controller tuning via firefly algorithm and particle swarm optimization (PSO) for a semi-active (SA) suspension system using a magneto-rheological (MR) damper.

TL;DR: The active suspension system has been proven to perform better than the passive suspension system provided the PID controller parameters are tuned properly, and the comparative assessment indicated that the PID controllers tuned by the iterative learning algorithm for active suspended system with hydraulic actuator has performedbetter than the other two tuning algorithms.

TL;DR: The semi-active control schemes, namely fuzzy logic based controllers tuned using a novel optimization algorithm called advanced firefly algorithm (AFA) is proposed to regulate the body of the vehicle’s suspension from any disturbances acted to the system.

TL;DR: The results indicated the active system based on hydraulic actuator was better than semi-active based on MR damper and passive system in term of the body displacement, velocity and acceleration.