Study on an Active Mass Damper for Floor Vibration Control. Automatic Plant Identification and Controller Disign.

H∞ robust control design of active structural vibration suppression using an active mass damper

A mathematical model of any real system is always just an approximation of the true, physical reality of the system dynamics. There are always uncertainties in the system modeling. This paper outlines a general approach to the design of an H∞ control of an active mass damper (AMD) for vibration reduction of a building with mass and stiffness uncertainties. Linear fractional transformation (LFT)...

The effect of time delay on control stability of an electromagnetic active tuned mass damper for vibration control

The aim of this paper is to investigate the effect of time delays on the stability of a zero-placement position and velocity feedback law for a vibratory system comprising harmonic excitation equipped with an electromagnetic active tuned mass damper (ATMD). The purpose of the active control is broadening the vibration attenuation envelope of a primary mass to a higher frequency region identifie...

Semi-active Vibration Control with On-line Identification of the Inverse Mr Damper Model

The paper presents the semi-active vibration control based on the Skyhook algorithm which benefits from the adaptively tuned inverse magnetorheological (MR) damper model. The structure of the inverse model consists of the atan function and a linear viscous damping component. The proposed algorithm was tested by simulation of the quarter-car suspension model subjected to multiple bump road excit...

Transverse Vibration Control for Cable Stayed Bridge Under Construction Using Active Mass Damper

Fuzzy Control of Seismic Structure with an Active Mass Damper

Fuzzy theory is highly promising for active structural control. The advantage of fuzzy controllers over classical controllers is the limited number of measured structural responses used to implement the control rules and its intrinsic robustness. In this paper, Fuzzy rules were generated firstly by learning from sample data obtained from the performance of the system under optimal control algor...