The primary objective of this paper is to improve the performance of a car's active suspension system and control the vibrations that occurred in the car's using two well-known control technologies, namely the Linear Quadratic Regulator (LQR) and fuzzy PID control. When the car suspension is designed, a quarter car model with two degrees of freedom is used. A complete control system is needed to provide the desired suspension performance and characteristics such as passenger comfort, road handling, and suspension deflection, this control system performed using the MATLAB/SIMULINK and includes three parts: input signals (actuator force and road profile), Controller part, and the suspension system model. The simulation results from the implemented Simulink models show a comparison between the uncontrolled suspension system and the suspension system with a fuzzy PID controller and the active suspension system of the car based on the linear-quadratic regulator, and it is explained thoroughly.
Quarter car model optimization of active suspension system using fuzzy PID and linear quadratic regulator controllers
30.03.2021
oai:zenodo.org:4643513
Global Journal of Engineering and Technology Advances 6(3) 088-097
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC: | 629 |
BASE | 2023
|Active Suspension System Design Using Fuzzy Logic Control and Linear Quadratic Regulator
Springer Verlag | 2018
|Development of controllers for a nonlinear quarter car active suspension system
Kraftfahrwesen | 2008
|Development of controllers for a nonlinear quarter car active suspension system
Online Contents | 2008
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