基于遗传算法的电渣重熔过程智能控制研究  

Intelligent Control Study Based on Genetic Algorithm for Electroslag Remelting Process

作　　者：赵丽丽[1] 宋锦春[1] 刘喜海[2] 柳洪义[1] 

机构地区：[1]东北大学机械工程与自动化学院,辽宁沈阳110004 [2]东北大学材料与冶金学院,辽宁沈阳110004

出　　处：《机械与电子》2008年第5期16-19,共4页Machinery & Electronics

摘　　要：为了使电渣重熔获得良好冶金效果,保证电渣重熔过程的稳定状态,分析研究了电渣重熔模型,对重熔电极熔速和位置进行协同控制,应用改进的遗传算法,以满足ITAE准则为寻优目标,对协同控制器参数寻优,并采用了模糊PID控制策略,研究电渣重熔过程控制系统的动态性能及相关过程变量的动态特性。研究结果表明:采用优化的协同控制,较好地实现了电渣重熔过程中电极熔速和位置的稳定控制,系统响应速度快,模糊控制策略使系统鲁棒性增强,相关过程变量的仿真结果表明了控制过程的稳定性。The cooperative control of both electrode remelting rate and position was applied in order to obtain optimal electroslag remelting metallurgy effect and improve melting production efficiency. The electroslag remelting process model was analyzed. Cooperative controller parameter were optimized by improved genetic algorithm based on ITAE criterion. Fuzzy PID controller was designed. The dynamic performance was analyzed to electroslag remelting control system. Study results show that optimizing and cooperative control come true stable control both electrode melting rate and electrode position. The control system has faster dynamic response. System has self - adjust-eing capbility under condition of fuzzy control strategy. Simulation results of process variables contribute to analysis electroslag remelting process.

关 键 词：电渣重熔模型 遗传算法 多回路优化控制 模糊控制 动态分析 

分 类 号：TF142[冶金工程—冶金物理化学]