Abstract
The structural scheme, the mathematical model and algorithm for calculating the automatic control system pressure in the working space of industrial furnaces, based on the principle of fuzzy logic. Composed of the membership function of fuzzy sets for the input linguistic variables. Formulated the rule base given inversely static characteristics of the control object. The dynamics of the controlled parameter changes by addressing the two differential equations by Euler's method. We search levels "truncation" prerequisites for each of the rules using the operation "minimum" prepared in accordance with the rule base. Defuzzification procedure performed (leading to definition). The advantages of this system over conventional stabilizing control systems under the action of a set of random factors and the highly nonlinear relationship between input and output values. The optimal values of the scaling factors for the developed system of automatic control.
Keywords
Linguistic variable, truth degree, membership functions, fuzzy sets, heuristic rules.
Vasiliev, M.I., Parsunkin, B.N., Andreev, S.M. and Akhmetov, T.U., 2014. Pressure control in industrial workspace furnaces using the principle of fuzzy logic. Software of systems in the industrial and social fields, 2: 35-45.