FUZZY-SKYHOOK CONTROLLER WITH CUCKOO SEARCH ALGORITHM FOR A SEMI-ACTIVE SUSPENSION SYSTEM WITH MAGNETORHEOLOGICAL DAMPER

Mat Hussin Ab Talib, Muhamad Hakim Helmi Zulkeflee, Hanim Mohd Yatim

Abstract


This study aims to investigate the performance of semi-active suspension system of the quarter car using fuzzy-skyhook controller tuned by cuckoo search algorithm (CSA). Since the parameters of the controller is crucial to be determined, the CSA methods is a good approach in integrating with the fuzzy-skyhook controller since it can motivate the proposed controller to improve the searching accuracy of the parameters. The magnetorheological (MR) damper is developed using Spencer model approach and its behaviour represented in the form of force-velocity and force-displacement characteristics. Then, a full simulation of suspension system is conducted using MATLAB Simulink excited with sinusoidal road profile input. A comparative study is carried out between the semi-active and passive suspension systems. The effectiveness of the fuzzy-skyhook controller with CSA (fs-CSA) is analysed and compared to the fuzzy-skyhook and skyhook controllers. The result indicates that fs-CSA gives highest percentage of improvement for body acceleration and body displacement with up to 48.6 % and 21.3 %, respectively.


Keywords


Cuckoo Search Algorithm; Fuzzy Logic; Magnetorheological damper; Semi-active Suspension; Skyhook

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References


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