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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Adaptive Fuzzy Controller for Ball Mill in Anode Plant
verfasst von : Edson Cruz
Erschienen in: Light Metals 2012
Verlag: Springer International Publishing
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An adaptive controller for keeping a ball mill working stably and efficiently is proposed in this paper. The controller is based on fuzzy logic control strategy by developing a method of adjusting the quantification and proportion factors. The selection of these factors makes a big influence on the static and dynamic performances of the controller. This new control strategy is implemented in Albras Anode Plants. The controller program was developed with ladder language and runs on programmable logical controller (PLCs) from Allen Bradley. Anode plants are operating with ball mills which are being controlled by fuzzy controllers, and the noise, that is the control variable is working around the established operation point. The results demonstrate the effectiveness and viability of the system that hereafter will be implanted for other processes of the anode plant.