Comparing optimization algorithms for parameter identification of sigmoid model for MR damper

This paper proposes a new hybrid optimization technique that merges a differential evolution algorithm with a local strategy using the Nelder–Mead algorithm or simplex search algorithm and in Matlab software package, referred to as ( fminsearch ). To examine the variation in parameter estimation err...

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Bibliographic Details
Published in:Journal of the Brazilian Society of Mechanical Sciences and Engineering Vol. 46; no. 3; p. 134
Main Authors: da Silva, Davi Matias Dutra, Avila, Suzana Moreira, de Morais, Marcus Vinicius Girão, Cavallini, Aldemir Aparecido
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2024
Springer Nature B.V
Subjects:
Design of experiments
Dynamic models
Engineering
Evolutionary algorithms
Evolutionary computation
Experimental methods
Genetic algorithms
Magnetic fields
Mathematical models
Mechanical Engineering
Numerical models
Optimization
Optimization algorithms
Optimization techniques
Parameter estimation
Parameter identification
Parameter modification
Research methodology
Rheology
Search algorithms
Technical Paper
Temperature effects
Velocity
Viscosity
Magnetorheological damper
Differential evolution
Bouc–Wen
ISSN:1678-5878, 1806-3691
Online Access:Get full text
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Summary:This paper proposes a new hybrid optimization technique that merges a differential evolution algorithm with a local strategy using the Nelder–Mead algorithm or simplex search algorithm and in Matlab software package, referred to as ( fminsearch ). To examine the variation in parameter estimation erros resulting from different optimization techniques. For a numerical model to exhibit good agreement with experimental values, it should prevent any clearances in the system and achieve an improved fit for the parameters of the Bouc–Wen-modified dynamic model. The study includes an experimental design to control the excitation current, frequency, and piston displacement. In this study, the model employed is the numerically parameterized model implemented by Wang, which utilizes experimental dynamic behavior of a commercial magnetorheological damper and applies a method to fit symmetric and asymmetric sigmoid functions using experimental data. These optimization algorithms are used to identify the sixteen parameters of the modified Bouc–Wen model.
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ISSN:1678-5878
1806-3691
DOI:10.1007/s40430-024-04698-0