转炉炼钢过程中，终点的精确控制是合理组织生产、提高锅炉板 质量和降低炼钢成本的重要保证。目前炼钢终点还不能达到一次命中，还需要进行副枪检测，根据检测结果进行补吹。

In the process of converter steelmaking, the precise control of the end point is the important guarantee for the rational organization of production, the improvement of the quality of the boiler plate and the reduction of the cost of the steel making. At present, the steelmaking end point can not reach a hit, but also need to carry on the auxiliary gun detection, according to the detection results to carry on the repair.

目前，国内在转炉控制的研究多集中在终点预测领域，而对转炉工艺参数优化的研究并不多见转炉炼钢是一个具有多输入多输出、存在严重非线性并具有大滞后特征的复杂工业过程，而且对过程无法做到准确适时的检测，因此给其控制带来很大困难。

At present, the domestic research on converter control is more concentrated in the end forecast field, while the research on the optimization of technological parameters of converter steelmaking is rare is a multi input and multi output, serious nonlinear and complex industrial process with large lag features, and can not be accurate timely detection of the process, so to control the bring great difficulties.

炼钢终点的准确控制是炼钢厂确保生产有序合理、保证钢水质量的重要前提。武汉科技大学的学者从辅料资源运行特性的角度分析了炼钢终点控制过程工艺，并在此基础上建立了以改进粒子群优化算法求解的终点优化控制模型，得出了终点优化控制策略。

The accurate control of steelmaking end point is an important prerequisite to ensure the orderly and reasonable production and ensure the quality of molten steel. Wuhan University of Science and Technology scholars from the perspective of resource materials operation characteristics analysis of process Steelmaking Endpoint control process, and on this basis to establish a modified particle swarm optimization algorithm for solving the optimal control model of the end, the end of optimal control strategy.

试验结果表明，终点预报误差ω(ΔC)<±0.03%的命中率提高至93.1%，ω(ΔC)＜±12K的命中率为94%，补吹氧时间为2.5min，辅料资源量节约15%左右，该模型达到了较好的优化效果。

Experimental results show that the endpoint prediction error (C < omega) + 0.03% hit rate increased to 93.1% (C < omega) + 12K hit rate of 94%, up blowing time is 2.5min, the amount of resources saving materials about 15%, the model has a good optimization effect.

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