Static Setting and Dynamic Compensation Based Optimal Control for the Flow Rate of the Reagent in CePr/Nd Extraction Process
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摘要: 针对目前稀土铈镨/钕萃取生产过程人工控制导致生产指标波动大的问题，提出一种新的药剂量优化控制方法.首先针对入矿条件各参数的重要程度不一样，采用特征属性加权的案例推理方法确定药剂量（萃取量和洗涤量）预设定值；然后根据铈镨/钕稀土溶液颜色与组分含量密切相关的特点，采用最小二乘支持向量机（LS-SVM）建立基于稀土溶液颜色的组分含量软测量模型，再根据软测量得到的组分含量与目标组分含量的差值，采用模糊推理技术补偿药剂量预设定值，实现稀土萃取过程组分含量的动态优化控制.试验结果表明本文方法的有效性.Abstract: Manual operation mode easily leads to a large fluctuation of production indices such as component content in the rare earth (RE) cascade extraction industry. A static setting and dynamic compensation based reagent dosage control is proposed to stabilize extraction production running. Firstly, the flow rates of the extractant and the detergent are determined according to feed conditions by case based reasoning (CBR). And then the component content of Nd is measured according to color feature of rare earth solution. The fuzzy reasoning model is used to compensate the flow rates of the extractant and the detergent in order to compliment stable running of the extraction production process according to the difference between the soft-measured value and the given value. Experimental results show the effectiveness of the proposed method.
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Key words:
- Extraction process /
- color feature /
- reagent dosage /
- case based reasoning (CBR) /
- fuzzy reasoning
1) 本文责任编委 阳春华 -
图 2 萃取量和洗涤量优化控制方案
Fig. 2 Optimal control scheme for the flow rate of the extractant and the detergent
图 3 颜色分量H、S特征值和组分含量相关性分析
Fig. 3 Correlation between color feature and component content
图 5 组分含量误差、组分含量变化差和萃取剂补偿量的隶属度函数
Fig. 5 Membership functions of component content, change error of component content and compensator of the flow rate of the extractant
图 6 基于溶液颜色的组分含量软测量与化验值比较
Fig. 6 Component content by soft sensing based on color feature of rare earth solution and lab test
图 7 人工方法、单模型方法与本文方法的组分含量
Fig. 7 Component content obtained by manual method、CBR based method and the proposed method
图 8 人工方法、案例推理方法与本文方法的萃取量
Fig. 8 Flow rate of the extractant and the detergent consumed by manual method、CBR based method and the proposed method
表 1 语义规则表
Table 1 Semantic rules table
NB NM NS ZO PS PM PB \hline NB PL PL PB PM PM PS ZO NM PL PB PM PS PS ZO NS NS PB PM PS PS ZO NS NM ZO PM PM PS ZO NS NM NM PS PM PS ZO NS NS NM NB PM PS ZO NS NS NM NB NL PB ZO NS NM NM NB NL NL 
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表 2 不同方法建模结果的性能比较
Table 2 Performance comparison of different models
Nd (%) CePr (%) $ {\rm Method} $ $ {\rm RMSE} $ $ {\rm MSE} $ $ {\rm RMSE} $ $ {\rm MSE} $ $ {\rm RBF} $ 0.5829 0.623 0.6243 0.6109 $ {\rm SVM} $ 0.6021 0.528 0.5820 0.652 $ {\rm LSSVM} $ 0.5012 0.4891 0.5391 0.509
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表 3 使用特征参数的隶属度函数
Table 3 Membership functions of the fuzzy logic controller using characteristic parameters
Nd组分含量误差 Nd组分含量变化率 萃取补偿量 NO. $ {a_h} $ $ {b_h} $ $ {c_h} $ $ {a_g} $ $ {b_g} $ $ {c_g} $ $ {a_u} $ $ {b_u} $ $ {c_u} $ 1 -8 -6 -4 -8 -6 -4 -10 -8 -6 2 -6 -4 -1.5 -6 -4 -1.5 -8 -6 -4 3 -4 -1.5 0 -4 -1.5 0 -6 -4 -1.5 4 -1.5 0 1.5 -1.5 0 1.5 -1.5 0 1.5 5 0 1.5 4 0 1.5 4 -4 -1.5 0 6 1.5 4 6 1.5 4 6 0 1.5 4 7 4 6 8 4 6 8 1, 5 4 6 8 $ {\times} $ $ {\times} $ $ {\times} $ $ {\times} $ $ {\times} $ $ {\times} $ 4 6 8 9 $ {\times} $ $ {\times} $ $ {\times} $ $ {\times} $ $ {\times} $ $ {\times} $ 6 8 10
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表 4 萃取量和洗涤量消耗统计表(升)
Table 4 Sum of the extractant and detergent comsumend by three methods (L)
人工方法 案例推理方法 本文方法 洗涤量 82.67 82.29 81.54 萃取量 28.63 28.26 27.54
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