Design of a Supervisory Control System for a Clinker Kiln Operation

Colina, Eliezer; Falconi, Mara; Morocho, Villie; Medina, Jose; Mora, Alfredo Pérez de

doi:10.1109/apcase.2015.75

Cited by 2 publications

(2 citation statements)

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“…It is necessary to draw special attention to the works [17,18,19,20,21,22,23,24,25,26], which are aimed at control system development based on fuzzy logic and neural networks methods, which are the point to the development of alternative control methods for cement kilns and provided an opportunity to consider them in the described research.…”

Section: Introductionmentioning

confidence: 99%

“…The paper [22] proposes an adaptive neuro-fuzzy controller for a rotary kiln, which is successfully used in real production conditions on "dry" kilns. The monitoring system in [18] based on fuzzy logic proposes to control only a few process variablesthe temperature in the sintering zone, the oxygen content in the exhaust gases and the outlet material temperature. Papers [20,23,24] describe the developed models on the basis of Mamdani and Sugeno fuzzy inference algorithms and [26] considers the development of an expert system and a fuzzy control system for clinker cooling.…”

Section: Introductionmentioning

confidence: 99%

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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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