连铸结晶器自适应PID同步控制策略研究  

Research on adaptive PID synchronous control strategy of continuous casting mold

作　　者：马步强[1] 龚永乾 王洪旺 霍跃钦[1] MA Buqiang;GONG Yongqian;WANG Hongwang;HUO Yueqin(China National Heavy Machinery Research Institute Co.,Ltd.,Xi’an 710018,China)

机构地区：[1]中国重型机械研究院股份公司,陕西西安710018

出　　处：《重型机械》2024年第5期90-97,共8页Heavy Machinery

摘　　要：在工业生产中,由于长期的使用,出现结晶器两侧的系统参数不一致以及其它不确定的因素,导致结晶器两个子系统之间出现同步输出误差,影响铸坯质量。为减少结晶器两个子系统同步输出误差,提高铸坯质量的同时降低人力成本。本文针对PID控制的液压伺服驱动的连铸结晶器提出了连铸结晶器自适应PID同步控制策略。对液压伺服系统驱动的连铸结晶器数学模型进行推导,通过仿真系统对连铸结晶器进行模型搭建,来模拟出实际工业生产中的结晶器,并采用粒子群优化算法(Particle Swarm Optimization,PSO)和遗传算法(Genetic Algorithm,GA)调用构建的模型并对其进行PID参数寻优。通过仿真验证由智能算法优化得到的PID参数具有较小的同步误差,达到了自适应同步控制的效果,满足工业生产的指标。In industrial production,due to long-term use,In industrial production,due to long-term use,inconsistent system parameters on both sides of the crystallizer may occur and other uncertain factors,which lead to synchronous output errors between the two subsystems of the crystallizer and affect the quality of the cast billet.To reduce the synchronous output error of the two subsystems of the mold,improve the quality of the casting billet and reduce the labor cost.this article proposes an adaptive PID synchronous control strategy for continuous casting mold driven by hydraulic servo with PID control.The mathematical model of continuous casting crystallizer driven by hydraulic servo system was derived,and the continuous casting mold was modeled through a simulation system to simulate the actual industrial production crystallizer.Particle Swarm Optimization(PSO)and Genetic Algorithm(GA)were used to call the constructed model and optimize its PID parameters.Through simulation verification,the PID parameters optimized by intelligent algorithms have a small synchronization errors,achieving the effect of adaptive synchronization control and meeting the indicators of industrial production.

关 键 词：连铸结晶器 自适应PID 同步控制 智能算法 

分 类 号：TF341[冶金工程—冶金机械及自动化]