Title :
Seismic response control of a large civil structure equipped with magnetorheological dampers
Author :
Kim, Yeesock ; Langari, Reza ; Hurlebaus, Stefan
Author_Institution :
Zachry Dept. of Civil Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
This paper proposes a systematic design framework for vibration control of seismically excited civil structures employing magnetorheological (MR) dampers. The framework consists of nonlinear system identification and semiactive nonlinear control system: (1) a multi-input, multi-output (MIMO) autoregressive exogenous (ARX) input model-based Takagi-Sugeno (TS) fuzzy identifier is applied to a large building structure equipped with highly nonlinear hysteretic MR dampers subjected to earthquake disturbances (2) Based on the identified building-MR damper system model, a set of Lyapunov-based controllers are designed such that the building-MR damper system is globally asymptotically stable and its performance on transient responses is also satisfied. To demonstrate the performance of the proposed design framework, a twenty-story building structure employing multiple MR dampers is studied. It is shown from the simulation that the proposed control system design framework is effective to mitigate seismically excited responses of a large building-MR damper system.
Keywords :
Lyapunov methods; autoregressive processes; control system synthesis; design engineering; earthquake engineering; fuzzy set theory; magnetorheology; nonlinear control systems; seismology; structural engineering; transient response; vibration control; Lyapunov-based controller design; Takagi-Sugeno fuzzy identifier; control system design; earthquakes; magnetorheological dampers; multiinput multioutput autoregressive exogenous input model; nonlinear system identification; seismic response control; seismically excited civil structures; semiactive nonlinear control system; systematic design framework; transient response; twenty-story building structure; vibration control; Buildings; Damping; Fuzzy control; Fuzzy sets; MIMO; Nonlinear control systems; Nonlinear systems; Shock absorbers; Takagi-Sugeno model; Vibration control;
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2009.5277045