Authors : Pavel V. Besedin, Sergey V. Andrushhak and Vladimir K. Kozlov
Abstract: 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.
Pavel V. Besedin, Sergey V. Andrushhak and Vladimir K. Kozlov, 2015. Fuzzy Inference Technique in the Task of Sludge Batching Management. International Journal of Soft Computing, 10: 415-419.