电阻炉温度智能控制系统优化  

Optimization of Intelligent Temperature Control System for Resistance Furnace

作　　者：杨亮[1] YANG Liang(Shaanxi Polytechnic Institute,Xianyang 712000,China)

机构地区：[1]陕西工业职业技术学院,陕西咸阳712000

出　　处：《工业加热》2023年第11期26-29,共4页Industrial Heating

基　　金：陕西工业职业技术学院院级项目(2022YKYB-039)。

摘　　要：随着科学技术的发展,人们在关注机械设备自动化的同时也更为注意设备的精准化。电阻炉作为工业热加工的主要设备之一,是一种利用电流通过电阻材料发生热能的加热炉,电阻炉结构简单、炉温均匀,比较容易控制而且加热质量好,没有烟尘、没有噪声。电阻炉的温度控制能力会直接关系到产品的质量,在现有的电阻炉温度控制系统框架的基础上提出了一种优化措施,用热电偶代替温度传感器,实现对电阻炉炉温数据的采集,提高温度测定的精度,用神经网络算法改进PID算法,提高算法的适应性。通过仿真实验结果发现,优化后的电阻炉温度上升具有较强的规律性,缩短了电阻炉温度调控时间,对温度的控制效果较好,可以为工业的热处理提供更好的保障。With the development of science and technology,people pay more attention to the precision of equipment while paying attention to the automation of mechanical equipment.As one of the main equipment of industrial thermal processing,resistance furnace is a kind of heating furnace that uses current to generate heat energy through resistance materials.The resistance furnace has simple structure,uniform furnace temperature,easy to control and good heating quality,no smoke and no noise.The temperature control ability of the resistance furnace is directly related to the quality of the product.Based on the existing temperature control system framework of resistance furnace,an optimization measure is proposed.By using thermocouple instead of temperature sensor,the temperature data of resistance furnace can be collected,the accuracy of temperature measurement can be improved,and the PID algorithm can be improved by neural network algorithm.Through the simulation results,it is found that the temperature rise of the optimized resistance furnace has a strong regularity,the temperature control time of the resistance furnace is shortened,the temperature control effect is better,and it can provide a better guarantee for industrial heat treatment.

关 键 词：电阻炉 电热偶 神经网络 温度控制 

分 类 号：TM924.3[电气工程—电力电子与电力传动]