Aluminum rod heating furnace combustion temperature automation control device based on neural network

Abstract

The invention discloses an aluminum rod heating furnace combustion temperature automation control device based on a neural network. The device contains a heating furnace combustion system and a temperature automation control electrical system. The temperature automation control electrical system contains a neural network control module. The neural network control module is connected to a PID controller. A neural network is divided into two portions of forward propagation and backward learning. The forward propagation of the neural network is used for outputting a proportion parameter Kp, an integration parameter Ki and a differential coefficient Kd in PID control. The backward learning of the neural network is used for adaptively adjusting a self network weight coefficient so that a PID control parameter correspondingly to one optimal control rule is output. In the invention, an aluminum rod heating furnace combustion temperature reaches a technological requirement, a rejection rate caused by a heating temperature change is reduced and work efficiency of aluminum rod pressing is increased, and adjusting time for the temperature to reach a stable state is reduced and energy consumption losses are decreased so that a purpose of reaching energy saving and emission reduction is achieved.

Description

technical field [0001] The invention relates to the technical field of automatic control of the combustion temperature of an aluminum rod heating furnace. Background technique [0002] Aluminum profile production enterprises are high energy consumption and high emission manufacturing enterprises, and the cost control of extrusion production is one of the key issues that enterprises pay attention to. The aluminum rod heating furnace is the equipment used in conjunction with the extrusion machine. It uses natural gas to heat the aluminum rod ingot to the set temperature of the extrusion process, which is beneficial to extrusion molding. The aluminum rod heating furnace is the most energy-consuming part of the extrusion production line. Therefore, reducing the energy consumption of the heating furnace can ensure the stable and economical operation of the extrusion production and achieve the purpose of energy saving and emission reduction. [0003] The traditional temperature c...

AI Technical Summary

Problems solved by technology

However, due to the complex environment of the production site, there are many factors affecting the temperature, resulting in the temperature being a nonlinear time-varying parameter, and there is a long time lag in the combustion process.

Therefore, it is difficult to obtain a good control effect by using the PID method to control the temperature.

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