Abstract:In order to improve the alignment quality of corn harvester and reduce the driver’s labor intensity, an autofollow row system of corn harvester was designed, which included sensing system and path tracking control system. The sensing system consisted of laser radar, mechanical sensor using for autofollow row system and gyroscope. The lateral deviation between harvester and corn boundary line was detected by laser radar when the harvester moved to corn field, and the lateral deviation was detected by mechanical sensor during harvesting operation, and the heading angle was detected by gyroscope. Pure pursuit model was used as the control method of path tracking, and the forwardlooking distance of pure pursuit model was dynamically adjusted by fuzzy control. The desired steering angle was determined by the kinematics model of the harvester. The model was simulated and analyzed by Matlab/Simulink. The 4YZ-6 corn harvester with autofollow row system was tested in the field and the results were as follows: the average deviation of laser radar static detection test was 0.0775m, the average standard deviation was 0.1309m, and the proportion of deviation between -15cm and 15cm was 80.5%,and the proportion of deviation between -30cm and 30cm was 95%; the average adjustment distance of autofollow row test based on laser radar was 7.89m, the average deviation was 0.146m; in autofollow row test based on mechanical sensor, the average deviation was 0.0876m and average standard deviation was 0.0976m, the proportion of deviation between -15cm and 15cm was 83.1%, and the proportion of deviation between -30cm and 30cm was 100%. The test results met the requirements of autofollow row of corn harvester, and provided theoretical support for corn harvester’s autofollow row.