Controle inteligente de vibrações utilizando amortecedor magneto reológico

Abstract

Magnetorheological (MR) dampers are widely used in industrial applications such as vibration control of machine tools and structures subject to seismic earthquakes; active or semi-active suspensions in the automotive industry, as well as clutch and brake systems; and in the biomechanics area with intelligent protheses and haptic interfaces wich simulate the tactile sensing. MR dampers feature several desirable features such as high power controllability, low power consumption, stability, wide operational temperature range, fast response time and compact size. However, the precise control of this device can not be easily obtained with conventional linear controllers even by more robust controllers in the absence of a perfect modeling of their dynamic behavior due to its inherent nonlinear characteristic. Nowadays, thanks to the development of stability theory, proposed by the Russian mathematician Lyapunov, and with advances in computational technology, nonlinear control techniques have been increasingly used. Ecological, social and economic issues have led the automotive industry to a growing demand for efficient methodologies and technologies in the control of vibrations in semiative suspensions. In this way, this work describes the development of a nonlinear controller based on the sliding mode control method with the inclusion of a fuzzy compensation scheme, mathematically implemented in the dynamics of the model of a one-quarter vehicle damping system using magnetoreological damper.