Aiming at the problem that the current agricultural machinery controller has poor control ability on agri- cultural machinery components ,which leads to the abnormal shift and poor balance of agricultural machinery equip- ment ,the design and research of agricultural machinery controller based on laser sensor is proposed. First ,the central control module is optimized by using Nadu DPE- 10-500 laser ranging sensor as the data measurement equipment of the controller. Then set the measuring distance and angle of the sensor ,and use the circle fitting method to correct the measured data. Finally ,according to the laser measurement results ,based on the PID controller ,an adaptive neural fuzzy controller is constructed to test the control of agricultural machinery equipment. The test results show that this controller can complete the shift of mechanical equipment according to the preset requirements. The maximum position control error for the mechanical arm is only 0. 58 cm. When the intelligent balance is open ,the maximum deviation angle is only 1. 6 ° ,and the maximum deviation amplitude is only 31 cm. This greatly improves the equipment's debug- ging position accuracy and balance ,and further improves the application effect of agricultural machinery equipment.