Parametric Estimation From Empirical Data Using Particle Swarm Optimization Method for Different Magnetorheological Damper Models

Parametric Estimation From Empirical Data Using Particle Swarm Optimization Method for Different Magnetorheological Damper Models

<p>The nonlinearity behaviour of magnetorheological fluid (MRF) can be described using a number of established models such as Bingham and Modified Bouc-Wen models. Since these models require the identification of model parameters, there is a need to estimate the parameters' value carefull...

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Bibliographic Details
Main Author: Asan G. A. Muthalif (16888818) (author)
Other Authors: M. Khusyaie M. Razali (16891491) (author), N. H. Diyana Nordin (16891494) (author), Syamsul Bahrin Abdul Hamid (16891497) (author)
Published: 2021
Subjects:
Engineering
Fluid mechanics and thermal engineering
Mechanical engineering
Information and computing sciences
Data management and data science
Distributed computing and systems software
Shock absorbers
Particle swarm optimization
Magnetic hysteresis
Genetic algorithms
Estimation
Fluids
Optimization
Magnetorheological fluid damper
Parametric estimation
Genetic algorithm
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