Quarter car model optimization of active suspension system using fuzzy PID and linear quadratic regulator controllers
Mechanical and Industrial Engineering Department, Bani Waleed University, Bani Waleed, Libya.
Research Article
Global Journal of Engineering and Technology Advances, 2021, 06(03), 088-097.
Article DOI: 10.30574/gjeta.2021.6.3.0041
Publication history:
Received on 01 February 2021; revised on 04 March 2021; accepted on 06 March 2021
Abstract:
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.
Keywords:
Active Suspension; Quarter Car Model; Linear Quadratic Regulator; Fuzzy PID Control.
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