TY  - JOUR
T1  - Fuzzy Inference Technique in the Task of Sludge Batching Management
AU - Besedin, Pavel V. AU - Andrushhak, Sergey V. AU - Kozlov, Vladimir K. 
JO  - International Journal of Soft Computing
VL  - 10
IS  - 6
SP  - 415
EP  - 419
PY  - 2015
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2015.415.419
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2015.415.419
KW  - Sludge feeding control
KW  -fuzzy logic methods
KW  -the monitoring system
KW  -fuzzy inference system
KW  -quantitative value
AB  - The study described the methodology of application of the fuzzy logic methods and fuzzy control 
  theory for solution of tasks of the sludge feeding to the cement kiln. The research procedure presented in the 
  study consists in modeling the human behavior by operating a complex production facility with the use of the 
  fuzzy inference system. On the basis of this technique, the trend of designing the relevant system providing 
  the state estimation of sludge feeder based on analysis of its processing parameters is considered. In the study 
  an example of calculation of the quantitative value of a control action is provided, namely that of the angle of 
  bend rotation for the automated control system based on fuzzy logic equations. The obtained results of the 
  studies allow evaluating the benefits of fuzzy systems as compared to other kinds of control systems as well 
  as using the fuzzy logic equations derived one may synthesize the fuzzy inference system for the regulator of 
the sludge feeding to a cement kiln.
ER  -