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Optimization of robust and LQR control parameters for half car model using genetic algorithm

Kaleemullah, Mohammed and Faris, Waleed Fekry and Hasbullah, Faried and Ghazaly, Nouby M. (2019) Optimization of robust and LQR control parameters for half car model using genetic algorithm. International Journal of Advanced Science and Technology, 28 (16). pp. 792-811. ISSN 2005-4238

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Abstract

To test the performance of the half car system, two types of controller are used, namely Robust H-infinity control and LQR control. Robust H-infinity and LQR controller is designed to control the suspension system and to reduce the vibrations in the car and to improve handling. A half car model is considered in this research to study the effects in passenger owing to different road profiles. The weights of Robust H-infinity and LQR controller are obtained using Genetic Algorithm on a half car model with two different types of usually existing road disturbance.The design parameters of both the active controller varies with various road profiles. This proves that particular design parameters in Robust and LQR controller do not have the ability to adapt to the variations in road surface. Furthermore, active controllers significantly improve the performance of the system in all aspects when compared to passive system. © 2019 SERSC.

Item Type: Article (Journal)
Additional Information: 4694/82165
Uncontrolled Keywords: robust and LQR control parameters, half car model, genetic algorithm
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1 Motor vehicles
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Prof.Dr. Waleed Fekry Faris
Date Deposited: 13 Aug 2020 19:29
Last Modified: 13 Aug 2020 19:29
URI: http://irep.iium.edu.my/id/eprint/82165

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