Design and Experiment of a Variable Spray System for Unmanned Aerial Vehicles Based on PID and PWM Control

Unmanned aerial vehicle (UAV) variable-rate spraying technology, as the development direction of aviation for plant protection in the future, has been developed rapidly in recent years. In the actual agricultural production, the severity of plant diseases and insect pests varies in different locations. In order to reduce the waste of pesticides, pesticides should be applied according to the severity of pests, insects and weeds. On the basis of explaining the plant diseases and insect pests map in the target area, a pulse width modulation variable spray system is designed. Moreover, the STMicroelectronics-32 (STM32) chip is invoked as the core of the control system. The system combines with sensor technology to get the prescription value through real-time interpretation of prescription diagram in operation. Then, a pulse square wave with variable duty cycles is generated to adjust the flow rate. A closed-loop Proportional-Integral-Derivative (PID) control algorithm is used to shorten the time of system reaching steady state. The results indicate that the deviation between volume and target traffic is stable, which is within 2.16%. When the duty cycle of the square wave is within the range of 40% to 100%, the flow range of the single nozzle varies from 0.16 L/min to 0.54 L/min. Variable spray operation under different spray requirements is achieved. The outdoor tests of variable spray system show that the variable spray system can adjust the flow rapidly according to the prescription value set in the prescription map. The proportion of actual droplet deposition and deposition density in the operation unit is consistent with the prescription value, which proves the effectiveness of the designed variable spray system.

[1]  J. Sánchez-Hermosilla,et al.  Design and implementation of an automatic pressure-control system for a mobile sprayer for greenhouse applications , 2012 .

[2]  Chun Chang,et al.  Develop an unmanned aerial vehicle based automatic aerial spraying system , 2016, Comput. Electron. Agric..

[3]  Majid Javid Moayed,et al.  An algorithm for pulsed activation of solenoid valves for variable rate application of agricultural chemicals , 2008, 2008 International Symposium on Information Technology.

[4]  Yuxiao Qin,et al.  A Fuzzy Adaptive PID Controller Design for Fuel Cell Power Plant , 2018, Sustainability.

[5]  Wei Deng,et al.  Constant pressure control for variable-rate spray using closed-loop proportion integration differentiation regulation , 2016 .

[6]  Xiang Cai,et al.  Closed-Loop Control of Chemical Injection Rate for a Direct Nozzle Injection System , 2016, Sensors.

[7]  A. Escolà,et al.  Ultrasonic and LIDAR Sensors for Electronic Canopy Characterization in Vineyards: Advances to Improve Pesticide Application Methods , 2011, Sensors.

[8]  Xiu Wang,et al.  Nozzle Flow Model of High Pressure Variable-Rate Spraying Based on PWM Technology , 2011 .

[9]  Qin Zhang,et al.  Technology Application of Smart Spray in Agriculture: A Review , 2015, Intell. Autom. Soft Comput..

[10]  Zhang Lijun,et al.  Effects of Operating Parameters for Dynamic PWM Variable Spray System on Spray Distribution Uniformity , 2016 .

[11]  Wilson Esquivel,et al.  Field testing of an automatic control system for variable rate fertilizer application , 2015, Comput. Electron. Agric..

[12]  Pieter van der Zaag,et al.  AgriSuit: A web-based GIS-MCDA framework for agricultural land suitability assessment , 2016, Comput. Electron. Agric..

[13]  R. D. Fox,et al.  Performance of Image Analysis for Assessment of Simulated Spray Droplet Distribution , 1994 .

[14]  Masoud Salyani,et al.  A portable scanning system for evaluation of spray deposit distribution , 2011 .

[15]  D. C. Slaughter,et al.  Optimization of agrochemical application in olive groves based on positioning sensor , 2010, Precision Agriculture.

[16]  Yubin Lan,et al.  Effect of wind field below unmanned helicopter on droplet deposition distribution of aerial spraying , 2017 .

[17]  Juan Agüera,et al.  Autonomous systems for precise spraying – Evaluation of a robotised patch sprayer , 2016 .

[18]  Abdellah El Aissaoui,et al.  A Feasibility Study of Direct Injection Spraying Technology for Small Scale Farms: Modeling and Design of A Process Control System , 2016 .

[19]  Qamar Uz Zaman,et al.  Performance evaluation of multiple ground based sensors mounted on a commercial wild blueberry harvester to sense plant height, fruit yield and topographic features in real-time , 2013 .

[20]  Um Rao Mogili,et al.  Review on Application of Drone Systems in Precision Agriculture , 2018 .

[21]  Jordi Llorens,et al.  Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying , 2013, Sensors.

[22]  He Xiongkui,et al.  Recent development of unmanned aerial vehicle for plant protection in East Asia , 2017 .

[23]  Joe D. Luck,et al.  Development and Preliminary Evaluation of a Spray Deposition Sensing System for Improving Pesticide Application , 2015, Sensors.

[24]  Zhang Huihui,et al.  Drift and deposition of ultra-low altitude and low volume application in paddy field , 2014 .