Sugarcane is a perennial crop, and good cutting quality can promote the growth and germination of sugarcane in the coming year. A large number of experimental studies have shown that under-the-ground basecutting can effectively reduce the stubble damage. Due to the unevenness of sugarcane fields in the hilly and mountainous areas of southwestern China, it is difficult for sugarcane harvesters to keep under-the-ground basecutting, resulting in a large amount of stubble damage. Therefore, based on angle sensors and cutting pressure sensors, the test bench was developed to design a multi-sensor data fusion control system. The basecutter height control strategy based on PID algorithm was developed, and the simulation model of the system was built by Matlab/Simulink. The simulation results showed that the stability time of the system was 0.67s, and the overshoot was 8.6%. To verify the performance of the control system, the bench test was carried out to simulate the sugarcane ground surface with forward speed, ground wavelength and ground amplitude as test factors.The experimental results showed that the minimum average cutting depth error was 3.26mm when the forward speed was 1km/h, the ground wavelength was 1m and the ground amplitude was 4cm. When the forward speed was 3km/h, the ground wavelength was 1m, and the ground amplitude was 12cm, the maximum average cutting depth error was 8.87mm, and the basecutter can keep under-the-ground basecutting. The research provided data support and theoretical basis for the development of the control system for under-the-ground basecutting.