Authors :
Walelign Wudu Bezabh; Ayitenew Mogninet Getaneh
Volume/Issue :
Volume 8 - 2023, Issue 10 - October
Google Scholar :
https://tinyurl.com/ycx46kjs
Scribd :
https://tinyurl.com/4fvcyw7z
DOI :
https://doi.org/10.5281/zenodo.10098930
Abstract :
The constantly growing topic of inventive
vehicle system design is of interest to researchers. The
difficulty stems from the ongoing requirement for
advancement in vehicle handling, ride comfort, and
driving dynamics. The present study proposed a
mathematical model for a 4DOF half-car active
suspension system (ASS) using a LQR (Linear Quadratic
Regulator) controller, based on a control approach for
ride comfort and vehicle handling. The task is simulated
using MATLAB/Simulink software. The unsprung masses
of the wheels' heave displacements, the vehicle's pitching
dynamics, and the sprung masses of its body's heave
displacements are the regulated parameters. Compared
to the antiquated passive suspension technology, its
performance is superior (PSS). The simulation uses two
bumpy sinusoidal roads and a random road input.
Finally, simulation software used to show how well the
recommended controller performed. The simulation's
outcomes show how this study modelled and control
capabilities have improved.
Keywords :
Active Suspension, LQR, 4 DOF, MATLAB/Simulink.
The constantly growing topic of inventive
vehicle system design is of interest to researchers. The
difficulty stems from the ongoing requirement for
advancement in vehicle handling, ride comfort, and
driving dynamics. The present study proposed a
mathematical model for a 4DOF half-car active
suspension system (ASS) using a LQR (Linear Quadratic
Regulator) controller, based on a control approach for
ride comfort and vehicle handling. The task is simulated
using MATLAB/Simulink software. The unsprung masses
of the wheels' heave displacements, the vehicle's pitching
dynamics, and the sprung masses of its body's heave
displacements are the regulated parameters. Compared
to the antiquated passive suspension technology, its
performance is superior (PSS). The simulation uses two
bumpy sinusoidal roads and a random road input.
Finally, simulation software used to show how well the
recommended controller performed. The simulation's
outcomes show how this study modelled and control
capabilities have improved.
Keywords :
Active Suspension, LQR, 4 DOF, MATLAB/Simulink.
