Abstract: In order to reduce the fluctuation of moisture content in redried tobacco strips packed in cases, the performances of existing moisture content control strategies were analyzed through simulation, and a serial predictive compensation control strategy was designed based on the serial relationship between the moisture content in strips leaving the redryer and that packed in cases. The designed control strategy adopts a double closed loop control structure, wherein the inner loop uses a predictive PI controller to control the moisture content in the strips leaving the redryer, and the outer loop uses a predictive compensation controller to control the long time lag process that affects the moisture content in the packed strips. Taking the blended tobacco module of the same batch and the same grade as testing material, the comparison test between cascade control and serial compensation control was carried out. The results showed that in the case of cascade control, the moisture content in the packed strips ranged from 11.79% to 12.60% averaged 12.33%; in the case of serial compensation control, the moisture content in the packed strips ranged from 12.10% to 12.29% averaged 12.19%, which followed the set value of 12.20% closer. The novel control strategy was of strong anti-disturbance ability and good robustness when the model was mismatch and there existed large disturbance. This technology provides a support for the accurate and stable control of moisture content in redried strips packed in cases.