Tuning cascade PID controllers using fuzzy logic

Cascade control configurations offer interesting possibilities to improve the control of processes. However, the tuning of cascade controllers can be quite complex, which hampers a wider spread of applications. Using an on-line pattern recognition approach and fuzzy inferencing it is possible to realize an expert supervisory control system to tune cascade PID controllers. The proposed scheme exhibits self-tuning and adaptive functions.

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Year of publication:	1994
Authors:	Li, M.X ; Bruijn, P.M. ; Verbruggen, H.B.
Published in:	Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 37.1994, 2, p. 143-151
Publisher:	Elsevier
Subject:	Fuzzy logic \| Expert system \| AI \| PID \| Cascade control \| Self-tuning \| Adaptive control \| Pattern recognition

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010748869