An adaptive neuro fuzzy controller for cement kiln

Sharabiany, Mehrad Ghasem; Fatehi, Alireza; Araabi, Babak Nadjar

doi:10.1109/ica.2011.6130131

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…The results of the carried out experiments suggest that the obtained models satisfy the required level of adequacy and meet the requirements for accuracy since the strength of the correlation connection was noticeable and high. The following Figures 19,20,21,and 22 show some results of modeling.…”

Section: Evaluation Of Fuzzy Behavior Chart Resultsmentioning

confidence: 99%

“…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%

“…There is presented the neural network structure covers only a few circuitspressure control and sintering zone control. 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.…”

Section: Introductionmentioning

confidence: 99%

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

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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: Evaluation Of Fuzzy Behavior Chart Resultsmentioning

confidence: 99%