摘要
稀土串级萃取分离过程具有多变量、非线性、大滞后、工况复杂等综合复杂性,萃取过程元素组分含量难以连续在线检测、产品纯度难以实现优化控制,因此,以提高产品纯度和金属直收率为目标的自动控制技术的研究成为关键。以La、Ce、Pr、Nd四组分串级萃取分离Ce/Pr稀土分离过程为研究对象,开发了稀土串级萃取分离过程智能优化控制仿真系统。该软件提供了稀土串级萃取分离过程的仿真模型及相应的智能优化控制算法,为深入研究和分析设计稀土串级萃取分离过程的自动控制方法提供了有力的实验平台。
The process of rare earth cascade extraction separation has the comprehensive complexity of multivariable, nonlinearity, large state delay, complicated working conditions, etc. For the difficulty of implementing online measurement and realizing optimal control of the rare-earth product's quality, research on the automatic control technology becomes the key problem to improve the product purity and direct recovery of rare-earth metals. A certain Ce/Pr extraction separation production line of La, Ce, Pr, Nd tetra-component system was considered and a simulation system for intelligent optimal control of rare earth cascade extraction separation process was developed. The software involves the simulation model and algorithm of intelligent optimal control and it provides an effective experimental tool for the rare earth cascade extraction separation process to analyze and design automation systems or control methods.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2007年第2期304-307,共4页
Journal of System Simulation
基金
国家重点基础研究发展计划(973)项目(2002CB312201)
国家自然科学基金重点项目(60534010)
国家创新研究群体科学基金项目(60521003)
长江学者和创新团队发展计划资助(IRT0421)。
关键词
稀土串级萃取
仿真模型
智能控制
软测量
优化设定
rare earth cascade extraction
simulation model
intelligent control
soft sensor
optimal setting