A nonlinear state space model for the slag forming process in a Pierce-Smith(PS) converter is developed. Based on this model, we propose a dynamic optimization control scheme for the slag forming process, in which the production quality indices are employed for feedback correction. The optimal control laws are derived based on the model, and the production quality index feedback correction is employed for eliminating the disturbances and uncertainties in the process of conversion. The production quality indices are obtained from a soft sensor model in which their values are calculated based on the materials entering and leaving the PS converter. The optimal control laws are also compensated and adjusted by an intelligent control unit according to the differences between the values of the feedback quality indices and the desired quality indices. Finally, an optimization supervising decision system for the PS converting process is developed based on the proposed dynamic optimization control scheme. Practical operation results show that the production quality of the PS converting process is improved, and the energy- saving is achieved by the optimal supervising decision system.%建立了Pierce-Smith(PS)转炉造渣过程的非线性状态空间模型,并提出了基于生产质量指标反馈校正的铜锍造渣过程的动态优化控制方案.该方案首先基于最优模型求得最优控制律.为消除吹炼过程中的扰动以及其他不确定因素所带来的影响,再引入基于生产质量指标的反馈调整机制.其中反馈信息由软测量模犁根据进出转炉的物料计算得到,智能控制单元根据反馈的质量信息和期望的质量目标间的偏差对最优控制律进行补偿修正.并在该动态优化控制方案基础上,设计并开发了铜锍吹炼过程的优化控制指导决策系统.实际运行结果表明该系统优化了产品的质量,同时也实现了铜锍生产过程的节能.
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