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Semi-active model predictive control for 3rd generation benchmark problem using smart dampersYan Guiyun (ÑÕ¹ðÔÆ)1,2, Sun Bingnan (Ëï±þéª) 2 and L¨¹ Yanping (ÂÀÑÞƽ) 3
1. Department of Civil Engineering, Fujian University of Technology, Fuzhou
350007, China Abstract: A semi-active strategy for model predictive control (MPC), in which magneto-rheological dampers are used as an actuator, is presented for use in reducing the nonlinear seismic response of high-rise buildings. A multi-step predictive model is developed to estimate the seismic performance of high-rise buildings, taking into account of the effects of nonlinearity, time-variability, model mismatching, and disturbances and uncertainty of controlled system parameters by the predicted error feedback in the multi-step predictive model. Based on the predictive model, a Kalman-Bucy observer suitable for semi-active strategy is proposed to estimate the state vector from the acceleration and semi-active control force feedback. The main advantage of the proposed strategy is its inherent stability, simplicity, on-line real-time operation, and the ability to handle nonlinearity, uncertainty, and time-variability properties of structures. Numerical simulation of the nonlinear seismic responses of a controlled 20-story benchmark building is carried out, and the simulation results are compared to those of other control systems. The results show that the developed semi-active strategy can efficiently reduce the nonlinear seismic response of high-rise buildings. Keywords: nonlinear seismic response; model predictive control; semi-active strategy; benchmark problem; magnetorheological damper
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