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Bouc-Wen hysteresis parameter optimization for magnetorheological damper using Cuckoo search algorithm

Rosmazi, Rosli and Zamri, Mohamed and G., Priyandoko and M. F. F., Ab Rashid (2020) Bouc-Wen hysteresis parameter optimization for magnetorheological damper using Cuckoo search algorithm. In: AIP Conference Proceedings: 4th International Conference on the Science and Engineering of Materials (ICoSEM 2019), 26-28 August 2019 , Kuala Lumpur, Malaysia. pp. 1-2., 2284 (020016). ISSN 0094-243X ISBN 9780735440142

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Abstract

This paper proposed an optimized Phenomenological Bouc-Wen model for MR damper. Cuckoo search algorithm is used to optimize the parameters in phenomenological Bouc-Wen model. These parameters mainly control the hysteresis loop shape of the model. The objective function returns root mean square error, RMSE between the optimized phenomenological Bouc-Wen model and real experimental data of an MR damper. The optimizing efficiency of the proposed CS algorithm evaluated by computing the final value of the fitness function and the iteration numbers it takes to converge.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Bouc-Wen model; Cuckoo; MR damper
Subjects: Q Science > QA Mathematics > QA76 Computer software
Q Science > QC Physics
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Faculty/Division: Faculty of Mechanical & Manufacturing Engineering
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 18 Jan 2021 07:48
Last Modified: 18 Jan 2021 07:48
URI: http://umpir.ump.edu.my/id/eprint/27901
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