Discussion on Modeling and Optimal Control of Nonferrous Metallurgical Purification Process
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摘要: 净化过程是有色金属湿法冶炼的关键工序.它通过置换沉淀的方式去除有色金属矿物浸出液中的杂质金属离子，为后续电解过程提供高纯度的金属电解液，其控制效果直接影响最终金属产品的质量、生产成本以及生产全流程的稳定性.目前，入矿来源混杂、反应机理复杂等因素制约了净化过程的高效和绿色生产.从净化过程工艺与反应机理的特点出发，提炼了净化过程各除杂工段在建模和优化控制中的共性问题，对净化过程建模与优化控制方法的研究现状进行了综述，并以湿法炼锌净化过程为例，较详细地介绍了在沉铁、除铜、除钴工序建模和优化控制方面的最新研究成果.最后结合自动化技术的发展新动向，对湿法冶金净化过程自动化的未来发展趋势进行了展望.Abstract: Purification is an essential part of non-ferrous hydrometallurgy, which involves using additives to replace impurities in the leaching solution thus to provide highly purified solution for subsequent electrowinning. The performance of purification process largely affects the quality of final metal product and the stability of the entire hydrometallurgy process. Due to the diversity of concentrate sources and the complexity of removal reactions, it is difficult to realize high efficiency and green production. From the perspectives of technological features and reaction mechanisms, the common problems in modeling and optimal control of purification process are first extracted. Then the current status in modeling and optimal control of purification process are reviewed. Zinc hydrometallurgical purification process is described as a typical example to introduce the recent results of the author's group in modeling, optimization and control of iron precipitation, copper removal and cobalt removal processes. This paper ends with a perspective on the potential trends in the automation of nonferrous hydrometallurgical purification process.
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Key words:
- Non-ferrous metallurgy /
- purification process /
- process modeling /
- optimal control
1) 本文责任编委 王伟 -
图 5 多反应器关联梯度优化双层控制框架
Fig. 5 Two layer control frame for cooperated gradient optimization of multiple reactor system
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