Temperature optical energy-saving control method for plastic dryer

Abstract

The invention discloses a temperature optical energy-saving control method for a plastic dryer. According to the method, running characteristics of the plastic dryer under different working conditions are considered, a predictive control strategy on the basis of multi-model switching is adopted to identify dynamic characteristics of an air temperature of the plastic dryer and a switching system model of an object under each typical working condition is established; then an optical target function with constraint is established by utilizing a switching rule and a mixed neural network is formed by a neural network for processing a continuous variable and a neural network for processing a discrete binary variable together; and finally, the switching system is subjected to optimization solution by utilizing the mixed neural network method. According to the invention, a controlled system can be in the optical running state under each typical working condition, so that accuracy of controlling the air temperature of the plastic dryer is improved.

Description

technical field [0001] The invention belongs to the field of information technology, and relates to the optimization of the air temperature of the plastic dryer by combining the multi-model switching system prediction control and the hybrid neural network optimization solution technology during the drying reaction process of plastics in the early stage of waste oil refining Energy-saving control, can be used in waste refining and drying industries. Background technique [0002] With the continuous development of modern science and technology, energy and environmental issues have increasingly become the focus of attention. It is in such a big environment that waste plastic cracking and refining technology came into being. On the one hand, waste plastic refining can solve the problem of domestic waste disposal, and on the other hand, it can produce high-quality oil and common energy such as carbon black. [0003] Reactor is the core equipment in the whole system of waste pla...

AI Technical Summary

Problems solved by technology

The control parameters of this control method basically depend on the experience of technicians, and it is generally difficult to achieve the ideal control effect, which will increase the production cost instead.

At present, the temperature control and optimization technology of dryers in my country is still in the stage of development and rise, and there is still a distance compared with developed countries. It is characterized by low degree of automation, poor control performance, and high energy consumption. It is difficult to meet the requirements of intelligent control and energy saving. Emission reduction and indirect environmental protection needs

Images