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Characteristics and Performance of an Autotuning Proportional Integral Derivative Controller for Dissolved Oxygen Concentration
Author(s) -
Lee Seung Chul,
Hwang Young Bo,
Lee Tae Ho,
Chang Yong Keun,
Chang Ho Nam
Publication year - 1994
Publication title -
biotechnology progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.572
H-Index - 129
eISSN - 1520-6033
pISSN - 8756-7938
DOI - 10.1021/bp00028a015
Subject(s) - pid controller , control theory (sociology) , controller (irrigation) , derivative (finance) , constant (computer programming) , time constant , a priori and a posteriori , line (geometry) , heuristic , mathematics , computer science , analytical chemistry (journal) , chemistry , thermodynamics , chromatography , physics , mathematical optimization , control (management) , engineering , temperature control , artificial intelligence , philosophy , financial economics , biology , geometry , epistemology , agronomy , programming language , electrical engineering , economics
The characteristics and performance of an autotuning proportional integral derivative (PID) controller developed by us have been investigated. The parameters for this controller, proportional gain, K , the integral time constant, Ti , and the derivative time constant, Td , are on‐line‐tuned by using heuristic rules, requiring no α priori tuning. The controller showed a stable and robust performance, even when only K was on‐line‐tuned. However, the dynamic (or time delay) of the membrane‐type dissolved oxygen (DO) probe caused oscillations in the DO concentration unless it was properly compensated. This required a prediction method. When all three controller parameters were on‐line‐adjusted, the DO probe dynamic could be effectively overcome with no separate prediction step.