Mathematic model for research of heat treatment of iron ore pellets on a conveyor roasting machine

• Published in: Reporter of the Priazovskyi State Technical University Section Technical sciences no. 41; pp. 120 - 129
• Main Author: Mitrofanov, O.V.
• Format: Journal Article
• Language: English
• Published: 24.12.2020
• ISSN: 2225-6733; 2519-271X; 2519-271X
• DOI: 10.31498/2225-6733.41.2020.226191

The purpose of the study is to develop a mathematical model for the study of the automated control of thermal process based on fuzzy logic and the rational use of coolant gas-air flows through the technological zones of the conveyor roasting machine. The proposed methodology will stabilize the treatment regime by technological zones and reduce the energy consumption amount and improve the quality of the roasted pellets. The subject of the study is an automated control system for the process of thermal treatment of pellets in the technological zones of the conveyor roasting machine; the system takes into account the influence of fuzzy parameters of the temperatures of the gas-coolant heat fluids, which provides economical use of energy costs in the conditions of uncontrolled external disturbances. The solution of the actual research problem of controlling the distribution of coolants of gas-air streams in the technological zones of the conveyor roasting machine during the thermal treatment of iron ore pellets is accomplished by developing a complex mathematical model and taking into account the relationships between the technological parameters of technological machines. It has been revealed that the main problem of control systems synthesis of the conveyor roasting machine technological processes of the theory of optimal control is the high dimension of the models of mass exchange technological processes dynamics. Therefore, it is suggested to apply fuzzy logic in conjunction with neural networks. Models of technological zones of drying, heating, roasting, recovery and cooling of the conveyor roasting machine have been improved by introducing a fuzzy logic controller into their structure as the main control and regulating device. This made it possible to improve the performance of the main functional dependencies, that is the temperatures of the upper layer of pellets and gas-air flows Розроблена комплексна математична модель для дослідження керування процесом термічного оброблення залізорудних обкотишів на конвеєрній випалювальній машині при управлінні контролером нечіткої логіки із здійсненням параметричної ідентифікації параметрів газоповітряних потоків впродовж технологічних зон. Система має комплексну математичну модель, що включає в себе змінні, які характеризують параметри технологічних зон