Model reference adaptive position controller with Smith predictor for a shaking-table in two axes

Abstract

In structural behavior, the analysis of civil buildings by seismic tests has been generalized by the use of shaking tables. This method requires advanced control systems. In our research we show the implementation of a Model Reference Adaptive Control (MRAC) to control the position of a shaking table, modified by the introduction of a Smith predictor to compensate the error produced by the system delay. The mechanic is based on a Slider-crank device. The control system is implemented on a 32 bits platform by Microchip, and the control is done via a remote server using the RENATA network. The results of our adaptive control system were experimentally verified using the shaking table with a 24 kg mass as a load. © 2013 Springer-Verlag.