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Implementation of self‐tuning generalized predictive controllers for the process industry
Author(s) -
Camacho Eduardo F.,
Bordons Carlos
Publication year - 1993
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.4480070106
Subject(s) - model predictive control , set (abstract data type) , simple (philosophy) , control theory (sociology) , self tuning , process (computing) , computer science , control engineering , constant (computer programming) , process control , control (management) , engineering , pid controller , artificial intelligence , temperature control , philosophy , epistemology , programming language , operating system
This paper presents a set of simple Ziegler‐Nichols‐type functions for implementing generalized predictive controllers (GPCs). By using this set of functions, the implementation of GPCs is simplified considerably and the heavy computational requirements needed are avoided. The functions have been obtained for a CARIMA model that is valid for most processes in industry, as is the case of plants whose behaviour can be described in terms of a static gain, time constant and effective dead time.