蓄热式燃气加热锻造炉炉温控制优化研究  

Study on Optimization of Temperature Control for Regenerative Gas Heating Forging Furnace

作　　者：王菲菲[1] 张亮[2] 

机构地区：[1]吉林铁道职业技术学院铁道车辆系,吉林省吉林市132200 [2]山东科技大学材料工程学院,山东济南266590

出　　处：《铸造技术》2018年第2期363-366,共4页Foundry Technology

摘　　要：通过分析蓄热式燃气加热锻造炉的工作原理,提出炉温控制优化思路。介绍了所设计温度控制系统的总体框架,采用STM32处理器作为硬件电路的控制核心,基于耦合神经网络优化的PID算法,优化了蓄热式燃气加热锻造炉温度控制系统。结果表明,设计的温度控制系统对炉温温度能够进行准确控制。The optimization of temperature control for regenerative gas heating forging furnace was proposed based on the analysis of the working principle of regenerative heating furnace. The overall framework of the temperature conirol system was introduced, and the STM32 processor was used as the control core of the hardware circuit, and coupled with the neural network optimization of the PID algorithm. The results show that the temperature control system can accurately control the regenerative gas forging heating furnace temperature.

关 键 词：蓄热式燃气加热锻造炉 温度控制系统 神经网络 

分 类 号：TG315.1[金属学及工艺—金属压力加工]