Abstract
A fuzzy control algorithm of selective roll cooling was developed dependent on a qualitative knowledge possessed by skilled operators. The residual flatness deviation as well as the time and spatial variation in the deviation of flatness were chosen as linguistic sets in the fuzzy control algorithm. Limitation and membership function as well as reasoning rule of the fuzzy sets were determined in accordance with the practical process. Besides, linguistic variables were classed by taking into account the condition of practical rolling process. The fuzzy control algorithm utilizes the Mamdani reasoning method and MAX-MIN composition method to actualize fuzzy reasoning and uses weighted mean method to actualize evaluation of fuzzy output. The applications show that the fuzzy control algorithm of selective roll cooling is capable in flatness control and is significant to obtain better flatness.
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