Identification of the mathematical model of the MAG-3/1100 autoclave

The goal of the work was to obtain the parameters of a numerical mathematical model of the MAG-3/1100 autoclave, widely used by enterprises in the Kaliningrad region for the sterilization of canned meat and fish. At the stage of analyzing the autoclave as an automation object, control points for the main technological parameters of the sterilization process have been established, taking into account the design features of the horizontal autoclave. A functional diagram of the process of sterilization of canned meat using a horizontal autoclave MAG-3/1100 has been developed and a description of its operation has been given. The programmable logic controller OWEN PLC210-04 has been selected as the autoclave control device in the automatic sterilization temperature control system. An algorithm for implementing the identification of parameters of a mathematical model of an autoclave using experimental data of the sterilization process obtained at the ARGO meat-packing plant in Kaliningrad has been considered. Identification of the mathematical model of the autoclave is represented by the transfer functions of the first order aperiodic link with delay. By modeling the dynamics of temperature changes using the Solid Thinking Embed package, the parameters of the numerical model have been determined. Using the obtained values of the autoclave model parameters, the optimal parameters of the PID controller in the automatic sterilization temperature control system have been determined using the engineering method. In the mathematical model, the maximum deviation of the temperature value from its actual value in the autoclave was no more than 2 °C. Using numerical identification parameters, a control program for the horizontal autoclave MAG-3/1100 has been developed in the application development environment CODESYS V3.5, and the organization of an automated workstation for the operator of the control of the horizontal autoclave has been proposed for operational monitoring of current temperature and pressure values in order to make management decisions in the sterilization process control system.

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