( 1. 湖南大学 电气与信息工程学院，长沙 410082；
2. 中南大学 能源与动力工程学院， 长沙 410083；
3. 湖南大学 机械与汽车工程学院， 长沙 410082)
摘 要: 基于铜精炼过程中还原阶段的热工机理建立了铜精炼过程液化气消耗真实目标泛函， 采用泛函分析与混沌优化算法等理论相结合对其进行融合处理，得出了能计算铜精炼过程中烟气最优升温曲线、 最优升温速度曲线以及能实现全局优化的液化气消耗泛函混沌优化器。 液化气消耗泛函混沌优化器应用结果表明， 除了液化气耗量/t阳极铜降低了9.20%外， 铜精炼炉燃烧状况也得到了较好的改善。
关键字: 铜精炼炉； 混沌理论； 泛函混沌优化器； 液化气消耗
（ 1. College of Electrical and Informational Engineering,
Hunan University, Changsha 410082, China;
2. School of Energy and Power Engineering,
Central South University, Changsha 410083, China;
3. College of mechanical and automotive Engineering,
Hunan University, Changsha 410082, China）
Abstract: A true objective functional about the least consumption of liquefied petroleum gas(LPG) in the copper refining process was established based on heat transfer mechanism in reduction phase in copper refining process. After the true objective functional is processed by fusing functional analysis and chaos optimization algorithm, a functional chaos optimizer about consumption of liquefied petroleum gas, from which the optimal consumption of liquefied petroleum gas, optimal rising temperature and optimal rising temperature velocity about smoke can be decided in copper refining process, is gotten. The application results reveal that the consumption of liquefied petroleum gas per ton anode copper is reduced by 9.20% and the burning conditions in copper refining rotary anode furnace are also improved.
Key words: copper refining rotary anode furnace; chaos theory; functional chaos optimizer; LPG consumption
