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Research On Control Strategy Of Working Condition Monitoring And Process Optimization For Boom Sprayer

Posted on:2021-01-18Degree:MasterType:Thesis
Country:ChinaCandidate:X JiFull Text:PDF
GTID:2393330623979687Subject:Agricultural Electrification and Automation
Abstract/Summary:PDF Full Text Request
With the development of intelligent control technology,the demand of precision and intelligence is put forward for traditional agriculture,so variable intelligent spraying technology becomes an important direction in the field of plant protection in the future.Among them,"solenoid valve + nozzle" type variable rate spray system has been widely concerned by scholars at home and abroad.The high-speed solenoid valve is connected in series through the connector in the front pipeline of the nozzle,and the on-off time of the high-speed solenoid valve is changed by changing the duty ratio of PWM signal,so as to change the average flow of each nozzle.In the actual operation process,operators set the driving signal to meet the demand of on-demand application of drugs,and meet the demand of precision and intelligence of plant protection operation.Based on the Internet of things technology,measurement and control technology,Simulink modeling and simulation technology,this paper designs a monitoring system for the working condition of the sprayer sprayer,which is mainly divided into information collection module,remote transmission module,variable spray module and pressure stability control module.The information collection module mainly includes flow sensor,pressure sensor,speed sensor and Beidou Ding.Bit system and environment wind speed sensor can realize the detection of work flow,work pressure,work speed,driving track and environment wind speed in the process of work.The remote transmission module mainly includes 4G DTU module and upper computer server.The controller obtains the work information in the information module,packs the sensor data according to the specified protocol format,and then uses RS232 serial port and 4G DTU module for communication,4G DTU module carries out data communication with upper computer server to complete data transmission;variable spraying module and pressure stability control module include STM32F103 controller,overflow branch,proportional flow valve,high-speed solenoid valve,solenoid valve drive module,human-computer interactive touch screen,through which pww control signal duty cycle and working pressure are set,and the controller obtains touch screen The command generates PWM signal to drive the solenoid valve for variable spraying,and the pressure stability control system regulates the internal pressure of the pipeline through the overflow branch and the proportional flow valve to meet the preset working pressure.The specific work of this paper is as follows:Based on the 12 meters sprayer sprayer,equipped with corresponding sensors,solenoid valves and other measuring and controlling components,according to the control system requirements,the configuration touch-screen design is completed,the friendly human-machine interaction interface is realized,the controller type selection and the solenoid valve driving circuit design are completed,and the corresponding module driver is programmed through software.Through the overflow branch and the proportional flow valve to build the working parameter optimization device,through AMESim to build the proportional flow valve control model,this paper proposes a robust,fast response working parameter optimization control algorithm,and verifies the control algorithm in AMESim.The performance test and operation test of the whole system are carried out on the spot.The results show that the data detection platform is stable,real-time and friendly.The experimental results of the overflow device and the optimal control algorithm of working parameters are tested by the sudden change of flow.The results show that the average value of working flow and pressure can reach a stable effect within 5-10 S after the function of the optimal control device of working parameters.
Keywords/Search Tags:Intelligent application, Working parameter monitoring, Pressure stability control, Internet of things
PDF Full Text Request
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