This paper proposes a multiple model approach for a nonlinear multi-input, multi-output (MIMO) system identification (SI) of smart structures equipped with magnetorheological (MR) dampers. The proposed model is developed through integration of MIMO autoregressive exogenous (ARX) input models, Takagi-Sugeno (TS) fuzzy model, weighted linear least squares estimators, and data clustering algorithms. Nonlinear behavior of the structure-MR damper systems is represented by a set of linear MIMO ARX input models whose operating regions are blended by TS fuzzy sets. To demonstrate the effectiveness of the proposed MIMO ARX-TS fuzzy model, a 20-story high-rise building employing MR dampers is investigated. It is demonstrated that the proposed approach is effective in modeling nonlinear behavior of the structure-MR damper system subjected to a variety of disturbances. Comparison with high fidelity data proves the viability of the proposed approach in control engineering setting.
Skip Nav Destination
ASME 2009 Dynamic Systems and Control Conference
October 12–14, 2009
Hollywood, California, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4892-0
PROCEEDINGS PAPER
Nonlinear Identification of MIMO Smart Structures
Yeesock Kim,
Yeesock Kim
Texas A&M University, College Station, TX
Search for other works by this author on:
Stefan Hurlebaus,
Stefan Hurlebaus
Texas A&M University, College Station, TX
Search for other works by this author on:
Reza Sharifi,
Reza Sharifi
Texas A&M University, College Station, TX
Search for other works by this author on:
Reza Langari
Reza Langari
Texas A&M University, College Station, TX
Search for other works by this author on:
Yeesock Kim
Texas A&M University, College Station, TX
Stefan Hurlebaus
Texas A&M University, College Station, TX
Reza Sharifi
Texas A&M University, College Station, TX
Reza Langari
Texas A&M University, College Station, TX
Paper No:
DSCC2009-2715, pp. 33-40; 8 pages
Published Online:
September 16, 2010
Citation
Kim, Y, Hurlebaus, S, Sharifi, R, & Langari, R. "Nonlinear Identification of MIMO Smart Structures." Proceedings of the ASME 2009 Dynamic Systems and Control Conference. ASME 2009 Dynamic Systems and Control Conference, Volume 1. Hollywood, California, USA. October 12–14, 2009. pp. 33-40. ASME. https://doi.org/10.1115/DSCC2009-2715
Download citation file:
8
Views
Related Proceedings Papers
Related Articles
Enjoying the Research Journey
J. Mechanisms Robotics (February,2010)
A Robustness Issue of Control Laws Designed by the Input-Shaping Methodology
J. Dyn. Sys., Meas., Control (September,2008)
Identification and Control of Mechanical Systems
Appl. Mech. Rev (May,2002)
Related Chapters
Layer Arrangement Impact on the Electromechanical Performance of a Five-Layer Multifunctional Smart Sandwich Plate
Advanced Multifunctional Lightweight Aerostructures: Design, Development, and Implementation
Design Parameters of a Serpentine Optical Fiber Bending Transducer for Strain Measurements in Smart Structures
Damage Detection in Composite Materials
An Algorithm for the Quantification of Hybrid Causal Logic Models (PSAM-0339)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)