
Establishment and Simulating Verification for Hyperbolic Tangent Model of Magneto-rheological Damper
Author(s) -
Gang Li,
Hao Lin,
Nengyong Ouyang,
Guoliang Hu,
Xu Rongxia,
Ruiheng Gu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1486/7/072046
Subject(s) - particle swarm optimization , damper , tangent , hyperbolic function , control theory (sociology) , computer science , amplitude , algorithm , mathematics , engineering , structural engineering , physics , mathematical analysis , artificial intelligence , geometry , control (management) , quantum mechanics
Firstly, the parameters of hyperbolic tangent model with magneto-rheological (MR) damper are identified via particle swarm optimization algorithm based on the mechanical properties test. Then, the functional relationship between the identified parameters and input current is fitted by curve fitting toolbox. Ultimately, Simulink toolbox is utilized to design and establish the hyperbolic tangent simulation model with MR damper, meanwhile, the different input currents and sinusoidal signals with other amplitudes and frequencies are selected for simulation and comparative analysis. The results show that parameter identification accuracy of particle swarm optimization algorithm is high. The simulation and experiment data under combination conditions with different input currents and other sinusoidal signals are in good agreement, which verifies the generality and accuracy of the parameter identification results.