中南大学王斌计算机学院,中南大学信息科学与工程学院,长沙 410083

夜刃猫

于 2021-07-07 20:29:51 发布

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文章标签：中南大学王斌计算机学院

本文提出了一种针对铅锌熔炼过程的优化控制问题，利用综合状态评估模型，结合主成分分析、神经网络和模糊理论等智能技术。通过匹配优化算法和模糊C-均值聚类，根据当前操作参数及模型结果计算最优参数，有效减少了工艺波动，提高了产品质量和产量。这一方法解决了熔炼过程的优化控制难题。

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摘要：

An optimization method of operation parameter based on comprehensive status evaluation model was proposed on the background of optimization control problem for lead-zinc sintering process. Based on the sintering process mechanism analysis, the comprehensive status evaluation model was proposed, which synthesizes a lot of intelligent technique, including principle components analysis, neural network, fuzzy theory and so on. Then according to the current operating parameters and the result of comprehensive status evaluation model, the optimum operation parameters were calculated by using matching optimization algorithm based on fuzzy C-means clustering. The results show that the fluctuation of status can be meliorated efficiently and the output and quality of agglomerate is improved, so the problem of optimization control for lead-zinc sintering process can be resolved.

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