Multi-objective evaluation-based hybrid intelligent control optimization for shaft furnace roasting process

A hybrid intelligent control optimization method based on multi-objective evaluation (MOE) is proposed to control the production indices of a process and maintain them in their desired range. This method consists of a loop control layer with an air–fuel ratio adjustment model and a setting layer. The set points of the control loops are produced by case-based reasoning (CBR) and followed by the closed loop. These set points are also adjusted through the real-time evaluation and online correction. The proposed approach has been applied to the roasting process and its effectiveness has been verified by the results of practical application.

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