Sorghum Air-seeding Seeding Granular Fertilizer Control System

China is a big agricultural country.In modern agricultural production,sorghum,soybeans,corn,rice,etc.occupy a dominant position in my country’s grain output.In order to ensure the production of food and achieve the maximum yield,a certain amount of chemical fertilizer will be sown in the process of agricultural work.Excessive application of chemical fertilizer will cause environmental pollution and other problems.Therefore,based on the traditional strip application of agricultural modernization,the fertilization method is adjusted to hole fertilization.This paper introduces discrete element simulation analysis for the hole fertilization control system,and uses particle swarm optimization to optimize the fuzzy PID control strategy,and completes the overall experimental research..The main research methods and main contents of the research are as follows:(1)This article mainly studies and determines the overall working structure of the air-suction seeding hole fertilization control system,the main structure of the hole fertilization control system(hardware part,fertilizer module,etc.)and the seeding device module.At the same time,the main factors affecting the effect of fertilization are analyzed.By selecting a stepper motor to drive the control system,the control system mainly includes a hardware microcomputer module,a reset module,a power drive module,a touch display module,a wireless communication module and other modules.(2)In the control strategy,through the establishment of the stepper motor model and the creation of Simulink simulation diagrams,the stability of the linear control of the stepper motor by PID and fuzzy PID is analyzed,and the fuzzy PID control optimized by the introduction of particle swarm optimization is studied.The strategy analyzes the stability through the obtained curve image changes,and determines that the particle swarm optimization fuzzy PID control algorithm can have excellent characteristics and corresponding parameters for the control of the stepper motor.(3)In the process of simulation,solidworks is used to model the fertilizer discharging system of the fertilization system,and the simulation particles are determined by calculation,measurement,modeling,filling,and other methods of fertilizer particles.set up.After the model is established,the overall simulation parameters of the fertilizer application device are calculated,consulted and set,and discrete element simulation is performed.Through the simulation of the fertilizer disperser,the speed change curve of the fertilizer particles,the single particle movement trajectory change curve,and the fertilizer discharging state of the fertilizer discharging device are obtained cloud atlas.(4)Carry out discrete element simulation experiment analysis on the fertilization control system,and obtain the corresponding simulation data and linear analysis.At the same time,the hole fertilization test bench device is used to carry out the actual experiment of sowing and fertilization;the fit between the actual test and the simulation experiment data is analyzed,and the rotation speed and the opening degree are used as relevant factors to carry out the multi-factor test analysis and research on the hole fertilization experiment.The best working parameters of the speed and opening of the fertilizer discharging device can meet the overall test requirements.To sum up,the analysis of experiments and simulations in this paper shows that the degree of fit is basically the same.Through the use of particle swarm optimization fuzzy PID control strategy,the motor can have good control accuracy,and the results of the plant spacing and seed fertilizer spacing of the overall test meet the basic requirements.The requirements for precision agriculture have provided a certain foundation for the research of precision agriculture facilities.