Optimization of robust and LQR control parameters for half car model using genetic algorithm
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 c...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Science and Engineering Research Support Society
2019
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/82165/ http://irep.iium.edu.my/82165/1/82165_Optimization%20of%20robust%20and%20LQR.pdf http://irep.iium.edu.my/82165/2/82165_Optimization%20of%20robust%20and%20LQR_SCOPUS.pdf |
| _version_ | 1848789249386610688 |
|---|---|
| author | Kaleemullah, Mohammed Faris, Waleed Fekry Hasbullah, Faried Ghazaly, Nouby M. |
| author_facet | Kaleemullah, Mohammed Faris, Waleed Fekry Hasbullah, Faried Ghazaly, Nouby M. |
| author_sort | Kaleemullah, Mohammed |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T17:53:43Z |
| format | Article |
| id | iium-82165 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:53:43Z |
| publishDate | 2019 |
| publisher | Science and Engineering Research Support Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-821652020-08-13T11:29:37Z http://irep.iium.edu.my/82165/ Optimization of robust and LQR control parameters for half car model using genetic algorithm Kaleemullah, Mohammed Faris, Waleed Fekry Hasbullah, Faried Ghazaly, Nouby M. TL Motor vehicles. Aeronautics. Astronautics TL1 Motor vehicles 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. Science and Engineering Research Support Society 2019-11-21 Article PeerReviewed application/pdf en http://irep.iium.edu.my/82165/1/82165_Optimization%20of%20robust%20and%20LQR.pdf application/pdf en http://irep.iium.edu.my/82165/2/82165_Optimization%20of%20robust%20and%20LQR_SCOPUS.pdf 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 http://sersc.org/journals/index.php/IJAST/article/view/1960/1370 |
| spellingShingle | TL Motor vehicles. Aeronautics. Astronautics TL1 Motor vehicles Kaleemullah, Mohammed Faris, Waleed Fekry Hasbullah, Faried Ghazaly, Nouby M. Optimization of robust and LQR control parameters for half car model using genetic algorithm |
| title | Optimization of robust and LQR control parameters for half car model using genetic algorithm |
| title_full | Optimization of robust and LQR control parameters for half car model using genetic algorithm |
| title_fullStr | Optimization of robust and LQR control parameters for half car model using genetic algorithm |
| title_full_unstemmed | Optimization of robust and LQR control parameters for half car model using genetic algorithm |
| title_short | Optimization of robust and LQR control parameters for half car model using genetic algorithm |
| title_sort | optimization of robust and lqr control parameters for half car model using genetic algorithm |
| topic | TL Motor vehicles. Aeronautics. Astronautics TL1 Motor vehicles |
| url | http://irep.iium.edu.my/82165/ http://irep.iium.edu.my/82165/ http://irep.iium.edu.my/82165/1/82165_Optimization%20of%20robust%20and%20LQR.pdf http://irep.iium.edu.my/82165/2/82165_Optimization%20of%20robust%20and%20LQR_SCOPUS.pdf |