Research on robot motion control and trajectory tracking based on agricultural seeding

With the development of science and technology, agricultural production has been gradually industrialized, and the use of robots instead of humans for seeding is one of the agricultural industrializations. This paper studied the seeding path planning and path tracking algorithms of the seeding robot...

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Main Author: L.L. Chen
Format: Article
Language:English
Published: Samara National Research University 2023-02-01
Series:Компьютерная оптика
Subjects:
Online Access:https://computeroptics.ru/eng/KO/Annot/KO47-1/470120e.html
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author L.L. Chen
author_facet L.L. Chen
author_sort L.L. Chen
collection DOAJ
description With the development of science and technology, agricultural production has been gradually industrialized, and the use of robots instead of humans for seeding is one of the agricultural industrializations. This paper studied the seeding path planning and path tracking algorithms of the seeding robot, carried out experiments, and compared the improved proportion, integral, differential (PID) algorithm with the traditional PID control algorithm. The results demonstrated that both the improved and non-improved control algorithms played a good role in tracking on the straight path, but the improved control algorithm had a better tracking effect on the turning path; the displacement deviation and angle deviation of the tracking trajectory of the improved PID algorithm were reduced faster and more stable than the traditional PID algorithm; the tracking trajectory was shorter and the operation time of the robot was less under the improved PID algorithm than the traditional one.
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spelling doaj.art-6ba6ef14f45b49609e628aee3076410c2023-12-28T11:01:30ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792023-02-0147117918410.18287/2412-6179-CO-1171Research on robot motion control and trajectory tracking based on agricultural seedingL.L. Chen0Mechanical and Electronic Engineering Department, Weihai Ocean Vocational CollegeWith the development of science and technology, agricultural production has been gradually industrialized, and the use of robots instead of humans for seeding is one of the agricultural industrializations. This paper studied the seeding path planning and path tracking algorithms of the seeding robot, carried out experiments, and compared the improved proportion, integral, differential (PID) algorithm with the traditional PID control algorithm. The results demonstrated that both the improved and non-improved control algorithms played a good role in tracking on the straight path, but the improved control algorithm had a better tracking effect on the turning path; the displacement deviation and angle deviation of the tracking trajectory of the improved PID algorithm were reduced faster and more stable than the traditional PID algorithm; the tracking trajectory was shorter and the operation time of the robot was less under the improved PID algorithm than the traditional one.https://computeroptics.ru/eng/KO/Annot/KO47-1/470120e.htmlseeding robottrajectory trackingpidmotion control
spellingShingle L.L. Chen
Research on robot motion control and trajectory tracking based on agricultural seeding
Компьютерная оптика
seeding robot
trajectory tracking
pid
motion control
title Research on robot motion control and trajectory tracking based on agricultural seeding
title_full Research on robot motion control and trajectory tracking based on agricultural seeding
title_fullStr Research on robot motion control and trajectory tracking based on agricultural seeding
title_full_unstemmed Research on robot motion control and trajectory tracking based on agricultural seeding
title_short Research on robot motion control and trajectory tracking based on agricultural seeding
title_sort research on robot motion control and trajectory tracking based on agricultural seeding
topic seeding robot
trajectory tracking
pid
motion control
url https://computeroptics.ru/eng/KO/Annot/KO47-1/470120e.html
work_keys_str_mv AT llchen researchonrobotmotioncontrolandtrajectorytrackingbasedonagriculturalseeding