Abstract: The research and development of intelligent agricultural machinery equipment with stronger independent operation ability is the current trend of agricultural machinery research and development in China. The selfdriving tractor with higher intelligence and more accurate operation is the top priority. The article analyzes and summarizes the key technologies of steering control, braking control and decision making in the field of automatic driving in recent years, discusses the main problems that restrict the development of automatic driving technology, and puts forward relevant suggestions to promote the development of automatic driving tractors. Through the fusion of multisensor and multicontrol technologies, the optimization of control methods and the application of machine learning technology, the poor reliability of sensors, the difficulty of electrohydraulic coupling steering control, the difficulty of braking force distribution control and the lack of multiobjective multiconstraint decision making in the automatic driving process of tractors are solved, with a view to providing reference for the development and promotion of automatic driving tractors in China.

Key words:  automatic driving tractor, steering control, brake control, intelligent decision

摘要： 具有更强自主作业能力的智能农机装备研发是当前我国农业机械研发的趋势，而智能化程度更高、作业更精准的自动驾驶拖拉机则是重中之重。分析并总结近年来自动驾驶领域的转向控制、制动控制以及决策等关键技术，探讨制约自动驾驶技术发展的主要问题，提出促进自动驾驶拖拉机发展的相关建议，通过多传感器及多控制技术融合、控制方法优化以及机器学习技术的应用等，解决拖拉机自动驾驶过程中传感器可靠性差、电液耦合转向控制困难、制动力分配控制困难及多目标多约束决策欠缺等，以期为我国自动驾驶拖拉机的研发和推广应用提供参考。自动驾驶技术有助于降低劳动力强度，提高机具作业效率，降低投入成本。因此，自动驾驶拖拉机在农业生产的“耕、种、管、收”各阶段得到广泛的应用。具有更强自主作业能力的智能农机装备研发是当前我国农业机械研发的趋势，而智能化程度更高、作业更精准的自动驾驶拖拉机则是重中之重。分析并总结近年来自动驾驶领域的关键技术，探讨制约自动驾驶技术发展的主要问题，提出促进自动驾驶拖拉机发展的相关建议，通过多传感器及多控制技术融合、控制方法优化以及机器学习技术的应用等，解决拖拉机自动驾驶过程中传感器可靠性差、电液耦合转向控制困难、制动力分配控制困难及多目标多约束决策欠缺等，以期为我国自动驾驶拖拉机的研发和推广应用提供参考。

关键词: 自动驾驶拖拉机, 转向控制, 制动控制, 智能决策