Tuning cascade PID controllers using fuzzy logic

M.x Li, P.M. Bruijn and H.B. Verbruggen

Mathematics and Computers in Simulation (MATCOM), 1994, vol. 37, issue 2, 143-151

Abstract: 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.

Keywords: Fuzzy logic; Expert system; AI; PID; Cascade control; Self-tuning; Adaptive control; Pattern recognition (search for similar items in EconPapers)
Date: 1994
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:37:y:1994:i:2:p:143-151

DOI: 10.1016/0378-4754(94)00003-4

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