A new semiactive nonlinear adaptive controller for structures using MR damper: Design and experimental validation

Abstract

In this study, we consider the vibration mitigation problem for a structural system using a magneto-rheological (MR) damper. For this purpose, through the use of Lyapunov-based design techniques, a nonlinear adaptive controller which can compensate the parametric uncertainties related to both the structural system and the MR damper has been constructed. To overcome effects of the unmeasurable internal dynamics of the MR damper on the controller, a filterbased design has been utilized. Experimental results performed on a six-degree-of-freedom (DOF) structure installed on a shaking table, illustrating the viability and the performance of the proposed method are also included.

On suppression of chaotic motions of a portal frame structure under non-ideal loading using a magneto-rheological damper

“…In the modified LuGre friction model (Jimenez and Alvarez, 2002), this mechanism is expressed by the average behavior of the bristles. In (Sakai et al, 2003;Cetin et al, 2011), another MR damper model based on the LuGre model is described as As can be seen in equation (4.1) 1 , the LuGre model has a parameter that represents the voltage applied to the coil of the damper v. This parameter allows one to control the force of the MR damper through the control of the voltage v making the LuGre model the most suitable for the active control system.…”

“…When using MR damper control for suppression of unwanted oscillations, the viscosity of the internal fluid varies according to a variable electrical current or voltage (Tusset et al, 2009;Piccirillo et al, 2014). According to Cetin et al (2011), there are two main approaches in the literature to describe the hysteresis dynamic behavior of MR dampers. One of them is the Bouc-Wen hysteresis model proposed by Spencer et al (1997), and other one is the LuGre hysteresis model that has been obtained from the nonlinear friction model proposed in Alvarez, 2002, 2005;Terasawa et al, 2004;Sakai et al, 2003).…”

“…In Dyke et al (1996), the Bouc-Wen model of an MR damper was implemented with successful results to a three-story frame model. Cetin et al (2011) used the LuGre friction model of an MR damper to a six-story frame model. Although Bouc-Wen model can accurately predict MR damper dynamics for active or semi-active control, it is too complex and difficult to implement (Cetin et al, 2011).…”

“…Cetin et al (2011) used the LuGre friction model of an MR damper to a six-story frame model. Although Bouc-Wen model can accurately predict MR damper dynamics for active or semi-active control, it is too complex and difficult to implement (Cetin et al, 2011). On the other hand, Cetin et al (2011) observed that the LuGre Model is more versatile than the Bouc-Wen model in semi-active control systems, therefore, in this work, the LuGre friction model is preferred over the Bouc-Wen model.…”

Semiactive Self-Tuning Fuzzy Logic Control of Full Vehicle Model with MR Damper

“…Moreover, MR dampers reduce vibrations by absorbing energy from the system and they do not destabilize the system. Since the MR dampers allow online adjustment, control techniques can be applied easily [1][2][3][4].…”