目的 因干燥系统的控制参数具有时滞性、非线性而难于控制，文中尝试一种更适用干燥对象的控制策略优化控制效果。方法 通过分析上光机水性上光油干燥的工作原理，建立包含印品传输速度和送风量等因素的干燥模型，构造上光机干燥系统仿真平台，设计适合滞后被控参数的Smith预测及PID复合控制算法。依据水性上光油干燥需求设计以S7–1500为控制核心、碳系发热板为热源的干燥硬件系统，利用基于模型设计方法开发PLC的温度控制程序。结果 文中将Smith预测算法引入了上光干燥系统，使干燥系统温度响应达到超调量为0，无稳态误差，相对于PID控制大大缩减了调节时间。运用模型设计方法，设计和实现了基于PLC的干燥控制系统，将基于碳系材料的发热源应用于水性上光油干燥系统中。结论 Smith预测算法适用于带有延迟因子的上光机干燥系统，在印刷干燥领域引入基于模型的设计方法，便于先进控制策略在印刷包装行业中的研究与开发。

The work aims to propose a control strategy more suitable for drying object to optimize the control effect aiming at the problem that the control parameters of drying system are time-delayed, nonlinear and difficult to control. The working principle of water-based glazing machine drying system was analyzed to establish a drying model including factors such as printing speed and air supply, construct a simulation platform for the drying system of the glazing machine, and design Smith-PID algorithm suitable for the time-delayed controlled parameters. According to the drying requirements of water-based glazing oil, a drying hardware system with S7-1500 as the control core and carbon heating plate as heat source was designed, and a PLC temperature control program was developed by the model-based design method. The Smith prediction algorithm was introduced into the glazing drying system to make the temperature parameter of the drying system reach an overshoot of 0, without steady state error, which greatly reduced the adjustment time compared to PID control. The model design method was used to design and realize the PLC-based drying control system, which was applied to the water-based glazing process based on heat source of carbon materials. Smith prediction algorithm is suitable for glazing machine drying system with delay factor. The introduction of advanced model-based design methods in the field of printing and drying can improve the efficiency and safety of system development, and facilitate the research and development of advanced control algorithms in the printing and packaging industry.