基于Smith-麻雀算法PID的感应加热炉温度控制系统在轧钢中的应用  

Application of Induction Heating Furnace Temperature Control System Based on Smith-sparrow Algorithm PID in Steel Rolling

作　　者：杨武全 张显都 冷方玉 YANG Wuquan;ZHANG Xiandu;LENG Fangyu(School of Mechanical and Power Engineering,Shenyang University of Chemical Technology,Shenyang 110142,China;Jilin Petrochemical Company Acrylonitrile Plant,Jilin 132000,China)

机构地区：[1]沈阳化工大学机械与动力工程学院,沈阳110142 [2]吉林石化公司丙烯腈厂,吉林吉林132000

出　　处：《机械工程师》2024年第6期62-66,共5页Mechanical Engineer

摘　　要：为了提高电磁感应加热炉的炉温控制精度,将Smith预估和麻雀算法(SSA)用于常规PID参数整定,克服常规PID调参工作量大的缺陷。仿真时给系统加入一个扰动,对比优化前后系统的抗干扰能力。在Matlab-Simulink中编写算法并建立仿真模型。运行仿真结果显示,经过Smith预估和麻雀算法(SSA)优化后的PID算法达到稳态所需时间减少6.33 s,控制的超调量减小28℃,当系统面对较大的干扰时,优化后的系统的响应速度更快,重新达到稳态时间更短。To improve the furnace temperature control accuracy of electromagnetic induction heating furnace,Smith predictor and sparrow search algorithm(SSA)are used for conventional PID parameter tuning to overcome the shortcomings of heavy workload of conventional PID parameter tuning.In the simulation,a disturbance is added to the system to compare the anti-interference ability of the system before and after optimization.The algorithm is written in Matlab-Simulink and the simulation model is established.The simulation results show that the time required for the PID algorithm to reach steady state after Smith prediction and sparrow algorithm(SSA)optimization is reduced by 6.33 s,and the overshoot of control is reduced by 28°C.When the system faces large interference,the response speed of the optimized system is faster and the time to reach steady state again is shorter.

关 键 词：SMITH预估补偿 麻雀算法PID 热轧 感应加热 温度控制 

分 类 号：TP2732[自动化与计算机技术—检测技术与自动化装置] TF31[自动化与计算机技术—控制科学与工程]