DESIGN OF VISUAL NAVIGATION SYSTEM FOR AGRICULTURAL ROBOTS BASED ON PID-FUZZY CONTROL AND MONOCULAR VISION-Reference-Cited by-同舟云学术

DESIGN OF VISUAL NAVIGATION SYSTEM FOR AGRICULTURAL ROBOTS BASED ON PID-FUZZY CONTROL AND MONOCULAR VISION

Published:2023-08-17 Issue: Volume: Page:117-126
ISSN:2068-2239
Container-title:INMATEH Agricultural Engineering
language:en
Short-container-title:INMATEH

Author:

REN Hanzhuo¹,LI Wei¹,YE Shaobo¹,XU Bing¹

Affiliation:

1. College of Agricultural Engineering, Shanxi Agricultural University, Taigu 030801 / China;

Abstract

This study proposes a monocular vision navigation control system based on PID-fuzzy control, which travels along the edge of the path. It collects path image information through monocular vision, identifies the path edge through image processing to determine the preview point, and uses a combination of PID and fuzzy control to design a controller to track the preview point for path navigation. Firstly, coordinate calibration and conversion were performed on the monocular camera, achieving coordinate conversion from the image coordinate system to the world coordinate system. The accuracy of the calibration results was verified through experiments. According to the navigation strategy of driving along the edge of the path, the world coordinate equation of the path edge is obtained through image processing technology, and the preview point tracked by the navigation system is determined. The navigation parameters are determined based on the position of the preview point. The PID fuzzy controller system designed in this study can switch different control methods based on the position of the preview point. Finally, an experimental verification was conducted on the monocular visual navigation system of the control system. The verification results showed that the average error of the navigation control system in tracking the path when driving in a straight line was 0.039 m, the average error when turning left was 0.079 m, and the average error when turning right was 0.121 m. The error range can meet the basic requirements of agricultural robot farmland operations. Research has shown that the navigation strategy based on PID-fuzzy joint controller to track the preview point along the path edge has a good effect on the visual navigation control system of agricultural robots. This study provides important reference value for the research and development of monocular visual navigation systems of agricultural robots.

Publisher

INMA Bucharest-Romania

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Food Science

Reference16 articles.

1. Guan Z.H., Chen K.Y., Ding Y.C., Wu C.Y., Liao Q.X., (2020), Visual navigation path extraction method in rice harvesting, Transactions of the Chinese Society for Agricultural Machinery, vol.51, Issue 1, pp.19- 28;

2. Khan D., Cheng Z., Uchiyama H., et al., (2022), Recent advances in vision-based indoor navigation: A systematic literature review, Computers & Graphics, Vol.104, pp.24-45, Elsevier, London / England;

3. Lai H.R., Zhang Y.W., Zhang B., et al., (2023), Design and experiment of the visual navigation system for a maize weeding robot (玉米除草机器人视觉导航系统设计与试验), Transactions of the Chinese Society of Agricultural Engineering, Vol.39, Issue 01, pp.18-27, Beijing / China.

4. Li Y.W., Xu J.J., Wang M.F., et al., (2019), Development of autonomous driving transfer trolley on field roads and its visual navigation system for hilly areas, Transactions of the Chinese Society of Agricultural Engineering, Vol. 35, Issue 01, pp.52-61, Beijing / China.

5. Li D., Xu S., Zheng Y., (2017), Navigation Path Detection for Cotton Field Operator Robot Based on Horizontal Spline Segmentation. International Journal of Information Technology & Web Engineering, Vol.12, Issue 3, pp.28-41, USA;