Smith控制是解决纯滞后系统控制的有效方法 ,但其对过程对象模型参数的精确要求 ,限制了其应用。本文提出了一种新型的模糊自校正 Smith控制方案 ,该方案无需知道系统的精确模型 ,采用模糊控制和 PI控制动态复合 ,从而保持了模糊控制较强的鲁棒性和 PI调节器消除静态误差的优点。仿真结果证明了模糊自校正 Smith控制器具有较快的响应速度和较强的鲁棒性。而且该方案算法简单、易于实现 ,对实际工业应用具有较大的意义 Smith control is an effective method to solve the system control of purely lagged systems. However, its exact requirements on the model parameters of the process object have limited its application. In this paper, a new fuzzy self-tuning Smith control scheme is proposed, which does not need to know the precise model of the system and adopts fuzzy control and PI control dynamic compounding to maintain strong robustness of fuzzy control and PI regulator to eliminate static error The advantages. The simulation results show that the fuzzy self-tuning Smith controller has faster response speed and stronger robustness. Moreover, the scheme is simple and easy to implement and has great significance for practical industrial applications