Semi-active vibration control of structural systems based on a reference active control law: output emulation approach

Abstract

SUMMARYA new semi-active control strategy that approximates a predicted control output of a reference active control is proposed. A variable parameter of a semi-active control device is selected at every time instant so that the predicted control output of the semi-active control system becomes close to the corresponding predicted control output of the reference active control as much as possible. Parameters of the reference active control law are optimized in the premise of the aforementioned 'output emulation' strategy so that the control performance of the semi-active control becomes good and the 'error' in the sense of achieved control performance between the reference active control and semi-active control systems becomes small. A pole placement method based on a linear matrix inequality (LMI) framework is adopted as the reference active control law. Parameters to determine the domain in the complex plane where the closed-loop poles are placed are searched so that control performance of the semi-active control system based on the output emulation approach is optimized.

Active vibration control of structural systems with a preview of a future seismic waveform generated by remote waveform observation data and an artificial intelligence–based waveform estimation system

“…Extension of the present approach to the semi-active control, e.g. Dyke et al (1996) and Hiramoto et al (2016), or the passive control with adjustable devices having slow dynamics. It is quite important in applying the proposed method to a wide range of existing buildings under control.…”

“…the number (samples) of input signals and the output signal (length of the prediction), the number of hidden layers and units in each layer including the structure of the ANN, must be carried out.Extension of the proposed preview control to the active control of structural systems with active mass damper (AMD) actuator that is widely applied to structural vibration control.Extension of the present approach to the semi-active control, e.g. Dyke et al (1996) and Hiramoto et al (2016), or the passive control with adjustable devices having slow dynamics. It is quite important in applying the proposed method to a wide range of existing buildings under control.Because the feedforward control law realizing the preview action can be independently designed (Hamada 2016), the performance improvement for existing controlled buildings under active and/or semi-active control is possible by adding the waveform estimation system and the quasi-preview action.…”

Adaptive Gain Scheduled Semiactive Vibration Control Using a Neural Network

“…In this study, the semiactive control law is designed using the output emulation approach [5] recently proposed by the authors. In the output emulation method, the command signal of the variable damping coefficient of the semiactive damper is switched between the maximum and minimum values.…”

“…Moreover, semiactive control is simple, has low energy consumption, and is safe against failure of the control element compared to active control that is realized by sensors, a (feedback) controller, and actuators requiring a large power supply. Because of the above advantages, semiactive control has been actively studied as a vibration control method for structural systems subject to large-scale earthquake disturbances in which surrounding power failure can be occurred [1][2][3][4][5].…”

Effects of Mathematical Model of MR Damper on Its Control Performance; A Nonlinear Comparative Study

“…In some of the semi-active control algorithms such as Clipped Optimal Control (COC), a desired control force is determined using a reference active control algorithm such as LQR, NIOC, H 2 /LQG, etc. Consequently, an input voltage is set to achieve this reference active control force via MR damper, [6,7,8,9]. In an active-based semi-active control method, the controller is mostly an optimal active controller.…”