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在常规Ｓｍ ｉｔｈ 预估补偿算法控制结构的基础上，进行适当改进，使用模型参考自适应辨识方法，把控制对象与模型间的差异用增益来补偿，使得模型失配条件下的Ｓｍ ｉｔｈ 预估补偿控制效果接近于模型精确条件下的控制效果．仿真结果表明，在存在模型偏差时，提出的方法能大大改善Ｓｍ ｉｔｈ 预估补偿控制的动态性能，且对外扰具有很好的抑制作用．
On the basis of the control structure of the conventional Smith compensation algorithm, the model reference adaptive identification method is used to compensate the difference between the control object and the model with gain, so that Sm ith estimation under the mismatch condition The compensation control effect is close to the control effect under the model exact condition. The simulation results show that the proposed method can greatly improve the dynamic performance of Smith predictive compensation control in the presence of model deviations, and it has a good inhibitory effect on external disturbances.