The invention relates to a navigation fuzzy control method for an AGV trolley in modern logistics, the navigation fuzzy control method comprises the following steps: a first step, determining input and output variables; a second step, determining variable domains and fuzzy language values; a third step, determining the membership function of each variable; a fourth step, establishing a fuzzy control rule; a fifth step, quantifying input and output quantities; and a sixth step, defuzzifying. Overshoot in a speed inertia adjustment process can be reduced as much as possible due to instantaneousdeviation rate as one variable, the AGV trolley takes less time when driving along a curve, and the working efficiency is improved. A designed fuzzy controller can improve the stability of the systemand reduce errors. Only the rotation speed, as the output quantity, of a drive wheel motor on one side of the trolley is adjusted, the realizability is higher, the fewer regulating system objects are,the smaller system errors are. Therefore, after automatic curve navigation is realized after simulation of the trolley, by adjusting the rotation speed of the driving wheel motor on one side of the trolley, higher profits can be brought to the industrial engineering.