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Group Method of Data Handling for Modeling Magnetorheological Dampers
Department of Electrical Engineering, American University of Sharjah, Sharjah, United Arab Emirates
Department of Computer Science and Engineering, American University of Sharjah, Sharjah, United Arab Emirates
Mechatronics Graduate Program, American University of Sharjah, Sharjah, United Arab Emirates
- 1 Department of Electrical Engineering, American University of Sharjah, Sharjah, United Arab Emirates
- 2 Department of Computer Science and Engineering, American University of Sharjah, Sharjah, United Arab Emirates
- 3 Mechatronics Graduate Program, American University of Sharjah, Sharjah, United Arab Emirates
Intelligent Control and Automation·Volume 04 (2013)·Pages 70–79·Published 5 February 2013·DOI10.4236/ica.2013.41010
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Abstract
This paper proposes the use of Group Method of Data Handling (GMDH) technique for modeling Magneto-Rheological (MR) dampers in the context of system identification. GMDH is a multilayer network of quadratic neurons that offers an effective solution to modeling non-linear systems. As such, we propose the use of GMDH to approximate the for ward and inverse dynamic behaviors of MR dampers. We also introduce two enhanced GMDH-based solutions. Firstly, a two-tier architecture is proposed whereby an enhanced GMD model is generated by the aid of a feedback scheme. Secondly, stepwise regression is used as a feature selection method prior to GMDH modeling. The proposed enhance ments to GMDH are found to offer improved prediction results in terms of reducing the root-mean-squared error by around 40%.
KeywordsSystem IdentificationMagneto-Rheological DampersGroup Method of Data HandlingPolynomial Classifier
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