基于量子粒子群的方坯连铸二冷配水制度智能优化  

Intelligent Optimization of Secondary Cooling Water Distribution System in Continuous Casting of Billet Based on Quantum-behaved Particle Swarm

作　　者：张春娜[1] 邢桂菊[2] 李轶然[3] 郭盛兴[4] 

机构地区：[1]辽宁科技大学软件学院,辽宁鞍山114051 [2]辽宁科技大学材料与冶金学院,辽宁鞍山114051 [3]辽宁科技大学应用技术学院,辽宁鞍山114011 [4]鞍山钢铁集团公司,辽宁鞍山114021

出　　处：《铸造技术》2013年第8期1041-1043,共3页Foundry Technology

摘　　要：针对二冷配水制度的优化问题,引入了混合的基于量子粒子群的智能算法,对于给定的某厂方坯二冷配水实施动态调节,制定新的配水制度。经实验验证,混合型算法收敛速度快,且搜索成功率高,经低倍检验,中心疏松、角部裂纹等缺陷改善明显,该算法性能优于传统控制方法。Aimed at the optimization problem for the secondary cooling water distribution system, a hybrid intelligent algorithm based on quantum-behaved particle swarm algorithm was introduced, and a new system to water distribution was established for a given factory in secondary cooling water distribution of billet to implement dynamic adjustment. Experimental results show that the hybrid algorithm has a fast convergence speed and a high search success rate, which significantly improve the center porosity defects and comer crack in low times testing. The algorithm is better in efficiency and quality than traditional control method.

关 键 词：二冷配水 量子粒子群 智能优化 铸坯质量 

分 类 号：TF777.1[冶金工程—钢铁冶金]