高强玻璃纤维池窑的预测控制研究  

Study on Predictive Control System of High Strength Fiberglass Furnace

作　　者：张焱 蔡增伟 黄松林 祖群 刘劲松 Zhang Yan;Cai Zengwei;Huang Songin;Zu Qun;Liu Jinsong(Nanjing Fiberglass Research&Design Institute Co.,Ltd.,Nanjing 211112)

机构地区：[1]南京玻璃纤维研究设计院有限公司,南京211112

出　　处：《玻璃纤维》2023年第4期1-4,9,共5页Fiber Glass

基　　金：国家重点研发计划项目(2021YFB3701600);中国建材集团攻关专项资助。

摘　　要：在已有的DCS控制系统基础上,开发模型预测控制技术,在线实时数据采集并进行模型预测运算,通过温度传感器导出过程信息,整定PID参数,降低已有或未知扰动所带来的工艺参数震荡幅度并减缓震荡周期,提高玻璃熔制工艺稳定性及玻璃液质量。研究表明,通过在高强玻璃纤维池窑增加APC控制系统,池窑熔化池空间温度波动降低85%以上,成形区温度波动降低40%以上,池窑液面波动降低35%以上。Based on the existing DCS control system,the model predictive control technology,including on-line real-time data acquisition and model predictive operation,process information deriving through temperature sensors and PID parameters setting,was developed in order to reduce the process vibration amplitude caused by the existing or unknown disturbance and reduce the vibration cycle,improve the glass melting process stability and liquid glass quality.The results showed that by adding APC control system in the high-strength fiberglass furnace,the temperature fluctuation in the melting space was reduced by more than 85%,the temperature fluctuation in the forming area was reduced by more than 40%,and the molten glass level fluctuation in the tank was reduced by more than 35%.

关 键 词：高强玻璃纤维 池窑 熔制 预测控制 纤维成形 

分 类 号：TQ171.777.17[化学工程—玻璃工业]