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A new constrained self‐tuning pid controller
Author(s) -
Katende Edward,
Jutan Arthur
Publication year - 1993
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450710415
Subject(s) - pid controller , control theory (sociology) , controller (irrigation) , convergence (economics) , constraint (computer aided design) , process (computing) , computer science , extension (predicate logic) , open loop controller , algorithm , mathematical optimization , mathematics , control engineering , engineering , control (management) , artificial intelligence , closed loop , temperature control , agronomy , geometry , economics , biology , programming language , economic growth , operating system
A new constrained self‐tuning PID controller is developed based on Clarke and Gawthrop's (1975) generalized minimum variance (GMV) controller. Convergence properties for the new algorithm are derived and the effect of the constraint parameter is evaluated. Extension of the controller to include more than the usual three PID parameters occurs naturally. No process model information is required for our algorithms except the dead time. This is an improvement over other algorithms which impose severe constraints on the process structure. The controller algorithm is tested on a variety of models using simulation as well as under experimental conditions. The algorithm is easy to implement and compares favourably with the more complex GMV controller.