摘要
为解决稀土萃取分离生产过程中元素组分含量难以在线检测的问题,提出了应用软测量技术实现稀土萃取分离过程监测点元素组分含量的在线估计和对萃取分离生产过程两端出口产品纯度进行优化控制的方法。将该方法应用于某公司HAB萃取分离提钇生产过程,实现了稀土萃取分离生产过程的优化控制和优化运行,保证了第1段产品氧化钆钇纯度≥99.5%,金属钇回收率提高了2%。
Since the online measurement of the multi-component content can hardly be achieved in rare earth extraction production process. The soft-sensor technology was proposed to estimate the component content of rare earth elements in spot detection on line and develops optimal control of the product purity at two outlet of the countercurrent extraction separation process. Then the proposed method was applied to a production process to achieve automatic control for whole production process through using HAB to separate the extract Yttrium in a company,which can attain more than 99.5% purity in Y_2O_3 in first stage and raise 2% recovery in Y.
出处
《吉林大学学报(工学版)》
EI
CAS
CSCD
北大核心
2004年第3期427-432,共6页
Journal of Jilin University:Engineering and Technology Edition
基金
"十五"国家科技攻关资助项目(2002BA315A)
"973"国家重点基础研究规划资助项目(2002CB312201).
关键词
自动控制技术
稀土
串级萃取
神经网络
软测量
优化控制
automatic control technology
rare earth
countercurrent extraction
neural network
soft-sensor
optimal control