Визначення раціонального режиму сушіння деревини з використанням адаптивної, регресійної моделі

Abstract

UK: Розроблено математичну модель для регулювання температури деревини у сушильній камері. Реалізовано модель у програмному середовищі MATLAB, Simulink. Створено автоматизовану систему визначення раціонального режиму сушіння деревини за допомогою адаптивної, регресійної моделі.

EN: The modern market has demonstrated the steady growth in the demand for wood products. In spite of the new types of artificial substitutes for wood, it remains the most popular material in construction, in the production of furniture and in many other fields of people life. Classic woodworking includes the process of reducing moisture content to a predetermined level. Wood drying process should be improved in technological equipment and especially in automatic monitoring and control. Every year, electricity becomes more expensive. So the problem of electricity usage is very relevant. Modern equipment solves this solution. Today, the automated control system are using in the drying chamber for temperature control. The final moisture content is calculated based on the initial value (initial temperature) and its drying time in the automated control systems of wood drying, which affects the quality of the dried material. This allows to improve the quality of regulation, increase speed and significantly reduce energy. The aim of this work — the creation of an automated system for determining rational mode of drying wood using adaptive, the regression model. Conclusions. 1. The regression model of the drying process of wood will reduce energy costs for guaranteed final moisture content.

2. Simulation of temperature control indicates that temperature variation does not exceed the value of 89º C to 91º C.