A case study in intelligent vs. conventional control for a process control experiment

While intelligent control methods such as direct, adaptive, and supervisory fuzzy control have shown some success, there is a significant need to evaluate their performance relative to conventional control approaches, particularly in an experimental setting. Such evaluations help to determine the va...

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Bibliographic Details
Published in:Control engineering practice 1998-09, Vol.6 (9), p.1055-1075
Main Authors: Zumberge, Jon, Passino, Kevin M.
Format: Article
Language:English
Subjects:
adaptive control
feedback linearization
fuzzy control
Intelligent control
process control
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Summary:While intelligent control methods such as direct, adaptive, and supervisory fuzzy control have shown some success, there is a significant need to evaluate their performance relative to conventional control approaches, particularly in an experimental setting. Such evaluations help to determine the value of the new intelligent control methods, and provide the engineer with general guidelines on how to apply them to more complex real-world applications. In this work a case study is conducted where comparisons are made between conventional and intelligent controllers for a process control experiment in our laboratory. Nominal, disturbance, and plant failure conditions are studied and the advantages and disadvantages of each of the approaches is highlighted.
ISSN:0967-0661
1873-6939
DOI:10.1016/S0967-0661(98)00067-7