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Intelligent cuckoo search algorithm of PID and skyhook controller for semi-active suspension system using magneto-rheological damper

Mohd. Yamin, A. H. and Mat Darus, I. Z. and Mohd. Nor, Nur Safwati and Ab. Talib, M. H. (2021) Intelligent cuckoo search algorithm of PID and skyhook controller for semi-active suspension system using magneto-rheological damper. Malaysian Journal of Fundamental and Applied Sciences, 17 (4). pp. 402-415. ISSN 2289-599X

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Official URL: http://dx.doi.org/10.11113/MJFAS.V17N4.2067

Abstract

This article introduces the application of the Cuckoo Search (CS) Algorithm to tune Proportional-Integral-Derivative (PID) and Skyhook controller for the semi-active (SA) suspension system further to improve the vehicle's ride comfort and stability. Meanwhile, the PID-CSA and Skyhook-CSA intelligent approaches have been compared to the passive suspension system. The performance of the PID controller and Skyhook controller are optimised by Cuckoo Search (CS) Algorithm, respectively. The system's mean square error (MSE) is defined as the objective function for optimising the proposed controllers. The performance of the proposed PID-CSA and Skyhook-CSA controllers are evaluated with the passive suspension system in the form of body acceleration, body displacement, and tire acceleration. The sinusoidal road profile is set as the disturbance of this system. The percentage improvement for body acceleration and body displacement achieved about 25% for the PID-CSA controller and 1-4% for Skyhook-CSA. These simulated results reflect that the proposed controllers outperformed other considered methods to obtain the most effective vehicle stability and ride comfort.

Item Type:Article
Uncontrolled Keywords:PID controller, quarter car model, semi-active (SA) suspension, skyhook controller
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:30571
Deposited By: Yanti Mohd Shah
Deposited On:02 Mar 2014 06:55
Last Modified:28 Feb 2022 13:26

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