Operation model of the cement kiln node &amp;#x201C;material temperature in the drying zone&amp;#x201D; as a fuzzy behavior chart

Bazhanov, Alexander; Magergut, Valery; Vashchenko, Roman

doi:10.1109/dt.2015.7222947

Cited by 4 publications

(1 citation statement)

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“…The base model properties expansion [33] is performed by the introduction of the second rank fuzzy behavior chart, which allows taking into account not only the fact of the node behavior change but also the changing form by determining the signs of the first and the second derivatives (Figure 1, b).…”

Section: Modeling Methodsmentioning

confidence: 99%

Development of control system for a complex technological object using fuzzy behavior charts

Bazhanov

Vashchenko

Rubanov

2020

Heliyon

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The cement kiln, which is the basic control object of represented work, is the most power consumption unit of the cement production. The wet production method provides a better quality of output clinker in north placed countries because of raw sources, which are already wet, and characteristics of Portland cement. However, there is one big problem standing against efficiency and concurrence with dry or semi-dry methods, there are no modeling algorithms and automated control systems for such an object. So overall control is available only with operator handle support and some local control loops. There is proposed an original approach to dynamic processes modeling based on second rank fuzzy behavior charts, which is a basis of control system development for complex technological objects. The authors describe the application of control system development method based on fuzzy behavior charts during an advising control system construction for a wet method rotating cement kiln. During pilot tests of the developed automated system was revealed a positive effect from the advising system implementation expressed in the increasing output of finished product with equal quality. The obtained data basis supports the conclusion that the application of the proposed method of developing control systems based on fuzzy behavior charts also possible for other complex technological objects.

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Section: Modeling Methodsmentioning

confidence: 99%