Intelligent optimal control in rare-earth countercurrent extraction process via soft-sensor

Authors:
Hui Yang;Chunyan Yang;Chonghui Song;Tianyou Chai
Affiliations:
School of Electrical and Electronics Engineering, East China Jiaotong University, Nanchang, China;Mechatronics Research Center, Jiangxi Academy of Science, Nanchang, China;Department of Information Science and Engineering, Northeastern University;Research center of Automation, Northeastern University, Shenyang, China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Year:
2005

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Abstract

According to the problems in the on-line measurement and automatic control of component content in rare-earth countercurrent extraction process, soft sensor strategies based on the mechanism modeling of the extraction process and neural network technology are proposed. On this basis, the intelligent optimal control strategy is provided by combining the technologies based on soft sensor and CBR (case-based reasoning) for the extraction process. The application of this system to a HAB yttrium extraction production process is successful and the optimal control, optimal operation and remarkable benefits are realized.