基于混沌遗传算法的铜闪速熔炼过程操作模式智能优化系统

Intelligent Operation Pattern Optimization System in Copper Flash Smelting Process Based on Chaotic Genetic Algorithm

摘要: 提出了一种铜闪速熔炼操作模式智能优化系统．该系统首先采用动态T-S递归模糊神经网络（Dynamic T-S Recurrent Fuzzy Neural Network，DTRFNN）对工艺参数进行软测量，再采用模式分解的方法对海量数据进行分解，最后对模式子集采用基于神经网络和混沌遗传算法的铜闪速熔炼操作模式智能优化方法进行优化．将该控制系统应用到铜闪速熔炼中，提高了铜闪速炉的生产效率．

Abstract: An intelligent operation pattern optimization system in copper flash smelting process is put forward.Firstly,in this system,a DTRFNN(Dynamic T-S Recurrent Fuzzy Neural Network) is adopted for the technologic parameters' soft sensing.Secondly,the method of pattern decomposition is adopted to decompose the mass data.Finally,intelligent operation pattern optimization based on neural networks and chaotic genetic algorithm is adopted to optimize the operation pattern sub sets.This control system is applied in copper flash smelting.The production efficiency of copper flash smelter is improved.