Optimization and test of spraying parameters for P20 multirotor electric unmanned aerial vehicle based on response surface method
1. Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2. Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture, Nanjing, Jiangsu 210014, China
Abstract：In order to find out the factors and the influence degree on multirotor electric unmanned aerial vehicle spraying deposition to increase the level of droplets deposition on target, based on the singlefactor test, the spraying parameters were experimentally investigated by the central combination test and design concept of BoxBehnken to establish the corresponding test methods and specifications. Using working parameters of flight height, flight velocity and nozzles flow rate as influence factors and mean droplet deposition levels as target function, the quadratic polynomial model of droplet deposition levels was established, and the effectiveness of mode and the interaction of factors were analyzed. The model was analyzed and optimized by regression analysis method and response surface analysis method of DesignExpert 8.0.5 software. The optimal combination of spraying parameters was obtained and verified, and the experimental verification of the mathematical model was also conducted. The results show that the decreasing effect sequence on droplet deposition levels on target is flight height, flight velocity and nozzles flow rate. The optimal combination of spraying parameters is with flight height of 2.0 m, flight velocity of 3.7 m·s-1 and nozzle flow rate of 430 mL·min-1. The largest droplet deposition level on target is 68.69% under the optimal conditions, and the relative error to estimated value on the model is lower than ±5%.
2016, Vol. 37 
