Abstract

The process of removing liquid from the surface or inner layers of materials is widely used by various enterprises. To implement such a process, such a method of dehydration as drying is most often used. In drying technology, drum dryers are the most common type. Controlling a drum dryer causes problems such as low efficiency (0.4-0.6) and high operating costs. To eliminate these problems, it is proposed to develop a system of adaptive fuzzy control of a continuous-flow drum dryer in order to increase the efficiency of control of technological processes of drying sand by using intelligent technologies. The method for this article is adaptive control using fuzzy logic control, which has the ability to control the parameters of the dryer depending on changes in the parameters of the control object or external disturbances acting on the control object. Adaptive fuzzy controllers are created on the basis of the proposed method. A model of the control object has been developed taking into account the links between the parameters of the technological regime. The processing of the research results was carried out using the MatLab software. The practical significance of the article lies in the fact that the results can be used in enterprises where parallel-flow drying drums are used to obtain a product of the highest quality, as well as to reduce the cost of purchasing raw materials.

Highlights

  • The main purpose of the parallel-flow drying drum is to obtain a finished product with a moisture content of 0.4 – 0.5 %

  • For adaptive control of the parallel-flow drying drum process, it is necessary to create 4 fuzzy controllers [9]: FC1 − fuzzy controller for adapting the control system; FC2 − the fuzzy controller is used in situations where it is necessary to regulate the amount of fuel and primary air supplied to the furnace to maintain optimal sand moisture; FC3 − fuzzy controller is used in situations where it is necessary to regulate the amount of secondary air supplied to the mixing chamber to maintain optimal sand moisture; FC4 − fuzzy controller is used in situations where it is necessary to adjust the rotational speed of the drying drum

  • The fuzzy controller FC2 is designed to regulate the amount of fuel and primary air supplied to the furnace to maintain the optimum moisture content of the sand (Figure 4)

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Summary

Introduction

The main purpose of the parallel-flow drying drum is to obtain a finished product with a moisture content of 0.4 – 0.5 %. To maintain the stability of the technological process, it is necessary to control it, taking into account the mutual influence of temperatures in the furnace, in the mixing chamber and in the drum itself [2, 12, 13, 14]. For normal operation of the furnace, it is necessary to control the temperature in it (TE 5-a), which depends on the consumption of fuel entering the furnace (FE 1-a) and the flow of primary air (FE 2-a), regulated by valves 1-b, 2-b, respectively. For further operation of the unit, the temperature in the mixing chamber (TE 6-a) should be controlled, which depends on the secondary air flow (FE 3-a), regulated by the valve 3-b. At the exit from the parallel-flow drying drum, we get the final dry material with an acceptable moisture content (ME 11-a)

Determination of controlled parameters and control actions
Creation of fuzzy controllers for adaptive control
Creation of fuzzy controllers in Fuzzy Logic Toolbox
Simulation of the drying process in the Simulink environment
Description of fuzzy controllers FC1 in the model
Modeling the FC3 controller
Modeling the FC4 controller
Conclusion
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