Enhancing Ride Comfort of Quarter Car Semi-active Suspension System Through State-Feedback Controller

Fauzi, M.; Yakub, Fitri; Zaki, Sheikh Ahmad; Yahaya, Hafizal; Muhamad, Pauziah; Rasid, Zainudin A.; Toh, Hoong Thiam; Talip, Mohamad Sofıan Abu

doi:10.1007/978-981-10-8471-3_81

Cited by 2 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Taskin et al [65], in 2017, investigated the effect of utilizing fuzzy logic controller on an active suspension system based on a quarter car test rig; and in 2018 a control scheme, utilizing Hybrid ANFIS PID, was proposed by Singh et al [66], in order to improve the passenger ride comfort and safety in an active quarter car model. Furthermore, Fauzi et al [67], in 2018, developed a state feedback controller to reduce body deflection caused by road disturbance, to achieve the ride comfort of driver and passengers.…”

Section: Methods Of Improving the Vehicle Suspensionmentioning

confidence: 99%

Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise

Azizi

2018

Sustainability

View full text Add to dashboard Cite

The goal of this paper is to design an effective Proportional Integral Derivative (PID) controller, which will control the active suspension system of a car, in order to eliminate the imposed vibration to the car from pavement. In this research, Gaussian white noise has been adopted to model the pavement condition, and MATLAB/Simulink software has been used to design a PID controller, as well as to model the effect of the white noise on active suspension system. The results show that the designed controller is effective in eliminating the effect of road conditions. This has a significant effect on reducing the fuel consumption and contributes to environment sustainability.

show abstract

Section: Methods Of Improving the Vehicle Suspensionmentioning

confidence: 99%