Title of article :
Predictive Control with Dynamic Hysteresis Reference Trajectory: Application to a Structural Base-Isolation Model
Author/Authors :
Puig ، Nubia Ilia Ponce de León Departament of Mathematics - BarcelonaTech, Escola d’Enginyeria de Barcelona Est-EEBE - Universitat Politècnica de Catalunya (UPC) , Rodellar ، José Departament of Mathematics - BarcelonaTech, Escola d’Enginyeria de Barcelona Est-EEBE - Universitat Politècnica de Catalunya (UPC) , Acho ، Leonardo
Abstract :
Over the last decades, in the field of control engineering, Model Predictive Control (MPC) has been successfully employed in many industrial processes. This due to, among other aspects, its capability to include constrains within the design control formulation and also its ability to perform online optimization. For instance, in the civil engineering field, different MPC approaches have been well developed to formulate active control algorithms able to reduce civil structural responses to earthquakes. Thus, in this paper, a customized version of a conventional Predictive Control (PC) strategy is proposed to mitigate the displacement on a base-isolated system with a nonlinear hysteresis behavior, that is excited by a seismic event. The proposal consists of including a dynamic hysteresis system into the control scheme to generate a reference trajectory that will softly drive the base-isolated structure to a rest status. The proposed control scheme is evaluated through numerical experiments, and then its performance is compared with respect to the conventional Predictive Control methodology. According to the numerical experiments, the approach here presented results more efficient than the conventional method due to the use of a suitable linear model of the structural system plus a new Driver Block with dynamic hysteresis within the Predictive Control scheme.
Keywords :
Predictive Control , Dynamic reference trajectories , Hysteresis , Base , isolated structure
Journal title :
Journal of Applied and Computational Mechanics
Journal title :
Journal of Applied and Computational Mechanics