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Proceedings Paper

Applying fuzzy logic in a complex temperature control system
Author(s): Steven D. Kaehler
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Paper Abstract

Choosing a control strategy for an unknown process is risky and can set one up for failure. If the process is one-of-a-kind and time constraints are tight, this can pose an even graver risk to the success if the wrong decision is made. On the other hand, significant reduction in cost and time can also be realized. We selected a fuzzy logic control strategy to run a complex test setup requiring multi-loop temperature feedback control, thermal ramping, mode switching, and temperature profile tracking. Changes were made almost daily in the beginning, some requiring considerable thought and effort to address. Though the system's behavior was unpredictable and non-linear, fuzzy logic proved to be an amazingly robust and flexible control strategy that worked well for us. It seems to be applicable to virtually any control problem, whether simple or complex, small or large, with a high probability of success. This paper will discuss the particular control requirements of this test, the technical challenges faced by both the system designer and the instrument/controls designer in getting everything working, how well the system performed, and what was learned from the experience that could be applied to practically any difficult control problem to help decide if using fuzzy logic makes sense.

Paper Details

Date Published: 6 December 2002
PDF: 14 pages
Proc. SPIE 4787, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V, (6 December 2002); doi: 10.1117/12.455859
Show Author Affiliations
Steven D. Kaehler, Boeing Co. (United States)

Published in SPIE Proceedings Vol. 4787:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

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