Genetic Algorithm Control of Model Reduction Passive Quarter Car Suspension System

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Nasir Ahmed Alawad 1,*

1. Computer Engineering Department, College of Engineering, Mustansiriyah University, Baghdad, Iraq

* Corresponding author.


Received: 26 Dec. 2018 / Revised: 12 Jan. 2019 / Accepted: 21 Jan. 2019 / Published: 8 Feb. 2019

Index Terms

Passive Quarter Car, (PID) Controller, (LQR), (FLC), H2 Controller, (GA) Controller, Matlab/Simulink, Display


This paper portrays the demonstrating, and testing of passive suspension control techniques. The control execution of a two-degree of-opportunity quarter car passive suspension frameworks is explored utilizing Matlab/Simulink, display. A classical Proportional Integral and Derivative (PID), Linear Quadratic Control (LQR), and H2 controller design are proposed and compared with soft computing methods, such Fuzzy logic controller (FLC) and Genetic Algorithm (GA) controller. Simulation environment was used for all design methods, investigation of the effects of the control techniques in time-domain design specifications, their comparison and verification of the results obtained. The results are shows the effectiveness of the (GA) controller to satisfied design requirements compared with others methods.

Cite This Paper

Nasir Ahmed Al-awad, "Genetic Algorithm Control of Model Reduction Passive Quarter Car Suspension System", International Journal of Modern Education and Computer Science(IJMECS), Vol.11, No.2, pp. 9-16, 2019.DOI: 10.5815/ijmecs.2019.02.02


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