EconPapers    
Economics at your fingertips  
 

Wind Vortex Target Control of a Plant Protection UAV Based on a Rice Wind Vortex–Flight Parameter Model

Hang Xing, Zhijie Liu, Taoran Huang, Minyue Dong, Jia Lv and Feng Tang ()
Additional contact information
Hang Xing: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Zhijie Liu: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Taoran Huang: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Minyue Dong: College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China
Jia Lv: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Feng Tang: School of Software Engineering, South China University of Technology, Guangzhou 510006, China

Agriculture, 2024, vol. 14, issue 8, 1-17

Abstract: The strong airflow beneath a rotary drone generates a wind vortex within the rice canopy; precise control of the wind vortex distance and wind vortex area can improve pesticide utilization efficiency. This paper calculates the flight parameter curve based on the wind vortex target from the wind vortex target parameter control model of the four-rotor plant protection drone, designs a flight control system using a Cube Orange flight controller and a Jetson AGX Xavier onboard computer, and implements flight parameter control using both PID control and fuzzy control algorithms. Experimental results indicate that when using PID control and fuzzy control, the average deviation values of UAV flight altitude and speed are 0.08 m, 0.08 m/s, 0.06 m, and 0.08 m/s, respectively. When using PID control, the average distance and area errors of the target downwind and upwind are 0.17 m and 0.37 m 2 and 0.20 m and 0.46 m 2 , respectively. The corresponding values for fuzzy control are 0.12 m, 0.38 m 2 , 0.09 m, and 0.31 m 2 . In the twelve voyage experiments, the target parameter variance using fuzzy control was relatively smaller for eight voyages compared to PID control, which had a smaller variance for four voyages. On the whole, the effect of fuzzy control is superior. The wind vortex control method proposed in this paper can effectively enable precise pesticide spraying by drones. This has significant implications for reducing agricultural production costs and safeguarding the natural environment.

Keywords: UAV; wind vortex parameters; flight parameters; control model; target control (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2077-0472/14/8/1413/pdf (application/pdf)
https://www.mdpi.com/2077-0472/14/8/1413/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:14:y:2024:i:8:p:1413-:d:1460336

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jagris:v:14:y:2024:i:8:p:1413-:d:1460336