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

• Main Authors: Rosmazi, Rosli, Zamri, Mohamed, G., Priyandoko, M. F. F., Ab Rashid
• Format: Conference or Workshop Item
• Language: English
• Published: AIP Publishing 2020
• Subjects: QA76 Computer software; QC Physics; TL Motor vehicles. Aeronautics. Astronautics
• Online Access: http://umpir.ump.edu.my/id/eprint/27901/1/Bouc-Wen%20hysteresis%20parameter%20optimization%20for%20magnetorheological%20damper%20.pdf; http://umpir.ump.edu.my/id/eprint/27901/; https://doi.org/10.1063/5.0027238
• Institution: Universiti Malaysia Pahang

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...