Resumo

RODRIGUEZ BORROTO, Miguel Ángel  e  LUNA ESCALONA, Alejandro Moisés. The Functional Predictive Control as an effective alternative for process control. EAC [online]. 2024, vol.45, n.1, pp. 1-15.  Epub 20-Maio-2024. ISSN 1815-5928.

In this paper, the results carried out about a study over the possibilities of the Predictive Functional Control (PFC) are presented. The French professor Jacques Richalet and his collaborators developed the PFC. The results presented were obtained, when PFC is applied to industrial processes with complex dynamics such as high order, integral effects in the direct step that make the process asymptotically unstable in open loop and the undesirable phenomena of delay and inverse response. The main objective of the study is to demonstrate the potential offered by the PFC algorithm, in its simplest form, for the control of such processes. To this end, a methodology for synthesizing the PFC controller is developed based on the postulates and principles proposed by the precursors of the method, applied to several real case studies. In all cases, completely satisfactory results were obtained by means of simulation in Simulink-MatLab and finally the results of applying the method to the temperature control of the TCLab minilaboratory developed at the University of Utah are compared. This verifies the real possibilities of the FPC as a prominent alternative to control of real process.

Palavras-chave : Process Control, Predictive Control, Functional Predictive Control, Digital Control, Systems Simulation; MatLab-Simulink.

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