1. Comparative analysis of semi-active control algorithms applied to magnetorheological dampers.
- Author
-
V., Luis A. Lara, Brito, José L. V., and G., Yamile Valencia
- Subjects
- *
MAGNETORHEOLOGICAL dampers , *STRUCTURAL dynamics , *VIBRATION (Mechanics) , *ALGORITHMS , *NONLINEAR regression , *MAGNETORHEOLOGY - 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]
- Published
- 2017