Abstract
This paper proposes a practical control method using neural networks and fuzzy control techniques. Neural networks effectively simulate a well-experienced operator's procedure to control the tank level with estimation of a rough control target. Fuzzy control techniques compensate the estimated rough control target using operator's knowledge. The control system was applied to a reflux tank level control of a hydro-desulfurizing plant in the feed oil switching and it controlled the level effectively.
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