Adaptive predictive control using multiple models, switching and tuning

GIOVANINI L, ORDYS A, GRIMBLE M

International Journal of Control and Systems

Springer

Año: 2006 vol. 4 p. 669 - 681

2005-4092

Abstract: In this work, a new method of design adaptive controllers for SISO systems based on multiple models and switching is presented. The controller selects the model from a given set, according to a switching rule based on output prediction errors. The goal is to design, at eachsample instant, a predictive control law that ensures the robust stability of the closed-loop system and achieves the best performance for the current operating point. At each sample the proposed control scheme identifies a set of linear models that best characterizes the dynamics of the current operating region. Then, it carries out an automatic reconfiguration of the controller to achieve the best possible  performance whilst providing a guarantee of robust closed-loop  stabilityThe results are illustrated by simulations a nonlinear continuous and stirred tank reactor.