化工学报2016，Vol.67Issue(3)：982-990,9.DOI:10.11949/j.issn.0438-1157.20151978
基于ANFIS模型的Pr/Nd萃取过程预测控制
ANFIS model-based predictive control for Pr/Nd cascade extraction process
摘要
Abstract
Rare earth (RE) is a national major strategic resource, but there are some problems existed in the RE cascade extraction industry, such as poor levels of automation, large control error and low efficiency of manual adjustment. In this paper a non-linear generalized predictive control (GPC) method based on adaptive neural fuzzy inference system (ANFIS) is proposed to counter these problems. First, in consideration of the nonlinearity and dynamic characteristic of the extraction process, the ANFIS algorithm is employed to describe the process. Then, on the premise of high-precision of component content prediction, the GPC method is exploited to adjust the flows accurately and automatically. Finally, simulation experiments are carried out based on the dynamic data of Pr/Nd cascade extraction process. By the contrast with the conventional PID method, it is validated that the proposed approach is effective.关键词
萃取/非线性/ANFIS/模型/预测控制Key words
extraction/non-linear/ANFIS/model/predictive control分类
化学化工引用本文复制引用
杨辉,朱凡,陆荣秀,张志勇..基于ANFIS模型的Pr/Nd萃取过程预测控制[J].化工学报,2016,67(3):982-990,9.基金项目
国家自然科学基金项目（51174091,61364013，61563015）；国家重点基础研究发展计划前期研究专项（2014CB360502）。@@@@supported by the National Natural Science Foundation of China (51174091,61364013,61563015) and the Earlier Research Project of the National Basic Research Program of China (2014CB360502) （51174091,61364013,61563015）
