Method for Modeling Electrorheological Dampers Using Its Dynamic Characteristics

Mathematical Problems in Engineering. 2015;2015 DOI 10.1155/2015/905731

 

Journal Homepage

Journal Title: Mathematical Problems in Engineering

ISSN: 1024-123X (Print); 1563-5147 (Online)

Publisher: Hindawi Limited

LCC Subject Category: Technology: Engineering (General). Civil engineering (General) | Science: Mathematics

Country of publisher: United Kingdom

Language of fulltext: English

Full-text formats available: PDF, HTML, ePUB, XML

 

AUTHORS


Carlos A. Vivas-Lopez (ITESM Campus Monterrey, Avenue Eugenio Garza Sada 2501, Col. Tecnológico, 64849 Monterrey, NL, Mexico)

Diana Hernández-Alcantara (ITESM Campus Monterrey, Avenue Eugenio Garza Sada 2501, Col. Tecnológico, 64849 Monterrey, NL, Mexico)

Ruben Morales-Menendez (ITESM Campus Monterrey, Avenue Eugenio Garza Sada 2501, Col. Tecnológico, 64849 Monterrey, NL, Mexico)

Ricardo A. Ramírez-Mendoza (ITESM Campus Monterrey, Avenue Eugenio Garza Sada 2501, Col. Tecnológico, 64849 Monterrey, NL, Mexico)

Horacio Ahuett-Garza (ITESM Campus Monterrey, Avenue Eugenio Garza Sada 2501, Col. Tecnológico, 64849 Monterrey, NL, Mexico)

EDITORIAL INFORMATION

Blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 26 weeks

 

Abstract | Full Text

A method for modeling an Electrorheological (ER) damper is proposed. The modeling method comprehends two simple steps: characterization and model customization. These steps are based on the experimental data of the damper behavior. Experiments were designed to explore the nonlinear behavior of the damper at different frequencies and actuation signals (i.e., automotive domain). The resulting model has low computational complexity. The method was experimentally validated with a commercial damper. The error-to-signal Ratio (ESR) performance index was used to evaluate the model accuracy. The results were quantitatively compared with two well-known ER damper models: the Choi parametric model and the Eyring-plastic model. The new proposed model has a 44% better ESR index than the Choi parametric model and 28% for the Eyring-plastic model. A qualitative comparison based on density plots highlights the advantages of this proposal.