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In the control literature, the available predictive controllers show limitations to be applied in processes that have integrating behavior. One of these limitations is related to the stabilizing properties of the resulting control law when the system is in closed loop. The main objective of this work is to develop a nominal stable control algorithm based on infinite prediction of system outputs. For this purpose an existing state space representation is explored and extended in order to be able to be applied to stable and integrating process with dead time. Two distinct methods to assure stability of integrating systems were developed for the infinite horizon MPC. For the case of state feedback, nominal stability of the resulting MPC was proved for the two methods and the efficiency of the controllers was verified through examples of the control literature. One of the controllers was also applied to an industrial distillation process of a petroleum refinery. The developed algorithm was extended to the output feedback operation with the inclusion of a Kalman filter for estimation of the model states. The application of the controller to a system with different dead times between integrating variables was also studied.

Controle preditivo de horizonte infinito para processos integradores com tempo morto.