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Comparative analysis of semi-active control algorithms applied to magnetorheological dampers.
- Source :
-
INGENIARE - Revista Chilena de Ingeniería . ene2017, Vol. 25 Issue 1, p39-58. 20p. - Publication Year :
- 2017
-
Abstract
- This paper analyzes the performance of three different semi-active control algorithms used to calculate and manage the optimal damping forces generated by a pair of magnetorheological (MR) dampers installed in a two-story building. The semi-active algorithms used are the linear quadratic regulator (LQR) associated with the clipped optimal algorithm, an algorithm based on a prediction model and a dynamic inverse model using nonlinear autoregressive exogenous (NARX)-type artificial neural networks, and a decision-making algorithm based on fuzzy logic. Additionally, the performances of the proposed semi-active algorithms are compared to those of passively used control devices. The results show response value reductions exceeding 50% for all the semi-active control strategies, which considerably outperformed the passive control. The three control strategies are thus confirmed as interesting tools with potential applications as MR damper administrators. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 07183291
- Volume :
- 25
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- INGENIARE - Revista Chilena de Ingeniería
- Publication Type :
- Academic Journal
- Accession number :
- 121500380