Abstract: The traditional PID control in cut tobacco drier could not resolve the contradiction between velocity and veracity and was unable to adapt to the variations of system parameters, therefore, the intelligent control plan which integrated fuzzy control, artificial simulation intelligent control, Smith control and feedforward-feedback control was applied to cut tobacco drier. It was proved that the cut tobacco drier was close to a linear system when running nearby its rated working status, the feedforward control was introduced. By establishing the mathematic model of cut tobacco drying process, the transfer function of the drier was determined and Smith control method was also introduced. Basing on the mathematic model, the shortcomings of PID control mode applied in the drier were analyzed, and the stability and controllability intelligent plan and PID control were compared by means of Matlab simulation. The results showed that the intelligent control plan featured better adaptability to the parameter variations of controlled object, better control effect, better compensation effect to disturbance and lag, and higher steady-state precision.