Application of Fuzzy and Clear Mathematical Models in Hybrid Control of the Process of Single-Stage Mincing of Frozen Meat

Abstract

Introduction. During one-stage mincing of frozen meat by milling, a change in the temperature of the boundary layer occurs resulting in plastic deformations of the raw meat and an increase in the size of the meat chips. The problem of regulating the operating parameters for the raw meat mincing process depending on its temperature can be solved through computer calculations of the temperature forecast of the meat boundary layer for several time intervals using fuzzy logic. The aim of the study was to develop an algorithm for hybrid control of single-stage mincing of frozen meat using fuzzy and clear mathematical control models. Aim of the Article. The article is aimed at developing a hybrid control algorithm for singlestage grinding of frozen meat using fuzzy and clear mathematical control models. Materials and Methods. The object of the study was the process of mincing frozen meat block (beef) with the use of a laboratory installation for a single-stage mincing with a capacity of 400 kg/hour. The E. Mamdani algorithm was used to develop a fuzzy mathematical control model. Mathematical modeling was carried out in the MATLAB, the Fuzzy Logic Toolbox package. Results. There was developed a model for fuzzy control of the operation of an intelligent control system (ICS) when forming a task for setting the operating parameters of the meat mincing process with the use of adaptive forecasting of meat temperature. For this model, the membership functions of the input and output variables and a rule base (knowledge base) were created. There was proposed a functional scheme of temperature control, which reflects the structure of a fuzzy control model for single-stage mincing. The advantages of this control include the fact that the system is given the function of continuous automated control of the temperature regime of mincing raw meat under the control of an industrial computer. Discussion and Conclusion. The results of temperature control can be used for further technological processing of meat. Using information about the temperature and chemical composition of raw meat, the ICS can realize the optimal mixing of minced meat ingredients. Artificial intelligence calculates all these characteristics of meat without the participation of a human operator. It makes it possible to fully automate the technological processing of meat in order to produce finished products of guaranteed high quality.