FIS-based method to generate bivariate control parameters regulation sequence for fertilization

In order to effectively coordinate the conflicts between the limited computing power of VMC (Vehicle Mounted Computer) and the accuracy and consistency of FS (fertilization seeding), a FIS-Based (fuzzy inference system) method which could generate near-optimum bivariate control parameters regulation sequence for FS was presented in this paper. The method took into account the relationship between the approaching three FS rate, and output near-optimum opening length and rotational speed in real time. It could eliminate the occurrence of big opening length with small rotational speed when fertilization rate was small, and reduced impact of pulsation of the outer genera mechanism. The laboratory experiment showed this method effectively coordinated the conflicts between the limited computing power of VMC and the accuracy and consistency of FS. Its average error was 4% smaller than the common method, and it also avoided the phenomenon of motor halt at extreme condition. The field test showed this kind of applicator could response to the instruction in time, and had good accuracy and consistency.