摘要
针对连续釜式反应过程由于大滞后造成的温度控制精度不高的问题,利用科学数据网格(scientific data grid, SDG)构建连续釜式反应过程温度控制系统结构图,在传统控制策略的基础上提出串级动态矩阵控制-比例积分微分(dynamicmatrixcontrol-proportion integrationdifferentiation,DMC-PID)温度预测控制策略。利用烟花算法完善DMC滚动优化环节,进而提高参数寻优的速度。搭建半实物仿真实验平台,通过OPC工具箱将DMC模块与可编程逻辑控制器(programmable logic controller, PLC)设备相连接进行实验验证。实验结果表明,基于烟花算法的DMC-PID串级系统,可以克服温度大滞后造成的影响,且DMC-PID串级控制对温度系统的控制精度和响应速度均有较大的提升。
To solve the problem of low-temperature control accuracy caused by the large delay in the continuous tank reaction process,a cascade temperature predictive control strategy combining dynamic matrix predictive control(DMC)and PID control is proposed which based on the traditional control strategy.The structure diagram of the temperature control system of the continuous tank reaction process is constructed by using the scientific data grid(Scientific Data Grid,SDG).The firework algorithm is adopted to improve the rolling optimization process of DMC and increase the speed of parameter optimization.The DMC module is connected with PLC device through the OPC toolbox to build a semi-physical experiment simulation platform for experimental verification.The experimental results show that the DMC-PID cascade system optimized by the fireworks algorithm can solve the problem of large temperature lag.Moreover,the DMC-PID cascade control can greatly improve the control accuracy and response speed of the temperature system.
作者
任志玲
张倩
REN Zhiling;ZHANG Qian(Faculty of Electrical and Control Engineering,Liaoning Technical University,Huludao 125105,China)
出处
《控制工程》
CSCD
北大核心
2024年第3期392-399,共8页
Control Engineering of China
基金
辽宁省教育厅科研项目(LJKZ0332)
辽宁省高等学校国(境)外培养项目(2019GJWZD002)。