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In order to improve the working efficiency of mobile straw granulator and solve the problem of mismatch between operating speed and feeding quantity in the process of corn straw harvesting, an automatic monitoring system for operating speed was designed to realize automatic monitoring and control of operating speed of the mobile straw granulator. The system was composed of a fuzzy controller with adaptive variable universe of feeding quantity and a hydraulic motor speed control system. The operating speed of the straw granulator was controlled by the hydraulic system. The actual feeding quantity was obtained by the power of the screw conveyor, and the prediction model of the feeding quantity was established according to the grey theory, with the prediction value as the input of the variable universe fuzzy controller. The output of the variable universe controller was the input of the hydraulic motor speed regulation system. The operating speed PID controller drived the hydraulic control system to adjust the running mechanism of the pellet machine to change the running speed, so as to match the running speed and the feed quantity to achieve the optimum feed quantity and achieve the purpose of advance adjustment. Three tests were designed, which were used to obtain the model parameters, the stability test under the condition of uniform straw, and the tracking performance test under the condition of non-uniform straw. The experimental results showed that under the condition of uniform straw, the operating speed can reach the best operating speed within 3m and the overshoot less than 5%, and then kept a good stable running state, so that the granulator can work with the best feeding quantity. Under the condition of non-uniform straw, the operating speed can track the change of the feeding quantity with an overshoot not more than 5%. The tests showed that the system can detect and match the operating speed and feeding quantity in real time, and can effectively improve the working efficiency of the mobile straw granulator.