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作 者:艾学忠[1] 李泽燚 徐春博 AI Xue-zhong;LI Ze-yi;XU Chun-bo(School of Information and Control Engineering,Jilin Institute of Chemical Technology)
机构地区:[1]吉林化工学院信息与控制工程学院
出 处:《化工自动化及仪表》2025年第1期10-15,118,共7页Control and Instruments in Chemical Industry
摘 要:针对水浴锅加热具有的复杂时间特性、控制物料温度难度大、部分物料达到稳定温度需要较长时间的问题,提出基于物理模型的模型预测控制策略,首先建立系统模型,考虑系统的加热功率,通过加权操作调整输出功率,动态控制系统;然后通过监测物料温度与设定温度的偏差,调整加热管功率的增量,迅速改变加热功率,从而缩短达到设定温度所需的时间。仿真结果显示:该策略能够有效跟踪设定温度,提升水浴锅加热效率,降低能源消耗,增强加热过程的稳定性和可控性。Considering the fact that water bath heating has characteristics of complex time,difficulty in controlling the materials temperature and a long time needed for the materials to reach a stable temperature,a model predictive control strategy based on the physical model was proposed.In which,having the system model established,the system heating power considered and the output power adjusted by weighting operation to dynamically control the system;and then,having the deviation between the material temperature and the set temperature monitored and the increment of heating tube power adjusted to change the heating power rapidly and shorten the time required to reach the set temperature.The simulation results show that,the strategy proposed can effectively track the set temperature,improve heating efficiency of the water bath,reduce the energy consumption,enhance the stability and controllability of the heating process and provide an effective solution for optimizing the heating process of the water bath.
关 键 词:模型预测控制策略 水浴锅 物理模型 约束处理 温度控制 加权 加热管功率
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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