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ARTICLE
A study of dynamic hysteresis model for a magnetorheological damper
1
Department of Aircraft Engineering, Air Force Institute of Technology, Taiwan R.O.C.
2
Department of Avionics Engineering, Air Force Academy, Taiwan R.O.C.
Submission date: 2022-11-20
Final revision date: 2023-01-30
Acceptance date: 2023-02-02
Online publication date: 2023-03-17
Publication date: 2023-04-28
Corresponding author
Journal of Theoretical and Applied Mechanics 2023;61(2):259-274
KEYWORDS
identificationLuGre modelmagnetorheological damperself-learning particleswarm optimization (SLPSO)sliding mode observer (SMO)
TOPICS
stability and vibrations systemsmechanics of materialsdynamics of machines, vehicles and flying structures
ABSTRACT
The paper proposes a new dynamic model based on the LuGre model and an electrical
equation to describe the hysteresis phenomenon for a magnetorheological (MR) damper.
In addition, a sliding mode observer (SMO) is proposed to estimate unmeasurable states
of the MR damper. The parameters of the MR damper are successfully identified by using
the self-learning particle swarm optimization (SLPSO) algorithm. The contributions of this
paper are: i) a new dynamic model based on the LuGre model and an electrical equation for
an MR damper is successfully formulated to fit for the hysteresis behavior, ii) the exerted
damping force can be practically adjusted by using input voltage for the dynamic model,
iii) the SMO is proposed to estimate the internal states and current, and iv) the unknown
parameters of the MR damper are successfully identified by using the SLPSO algorithm
with a numerical experiment.
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| eISSN: | 2543-6309 |
| ISSN: | 1429-2955 |
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