为提高无钟高炉的布料精度，提出了一种基于粒子群算法的环形布料优化方法。在分析环形布料工艺特点的基础上，按控制方法将环形布料分为常规多环布料和步进式同心圆布料，以料面形状误差为控制目标建立了环形布料的优化控制数学模型，并设计了粒子群算法进行优化求解。最后将优化模型应用到2580 m3无钟高炉，利用该优化模型分析了环形布料工艺与布料精度之间的关系。计算结果表明：溜槽倾角档位数量的增加有利于提高常规多环布料的布料精度，但同时导致布料优化控制复杂化，步进式同心圆布料的布料精度高于任意有限多个溜槽倾角档位的常规多环布料，适合充分发挥无钟炉顶布料灵活的优势，实现期望的炉料分布。
A method was developed to achieve accurate ring charging control based on particle swarm optimization.By ana-lyzing the ring charging features,the ring charging was classified into conventional ring charging and stepping ring charging.The error of burden surface was selected as the main control obj ective,then the mathematical model for ring charging control was established,and particle swarm optimization was employed for problem solving.At last, the control model was applied to a blast furnace with effective volume of 2 580 m3 ,and the relationship between the accuracy of burden distribution and the ring charging operation was analyzed.The results show that the in-creasing chute inclination positions are beneficial to accuracy improvement of burden distribution;however,the optimization of ring charging control becomes more complex at the same time.The accuracy of burden distribution achieved by stepping ring charging is higher than that of conventional ring charging.Hence,stepping ring charging can make full use of the flexibility of the furnace top charging system and achieve expected burden distribution.
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