Open AccessResearch on Automatic Control of Agricultural Robot Trajectory Optimization Based on Mathematical Model
Author(s) -
Ning Xu,
Youjian Song,
Quan Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/2/022163
Subject(s) - robot , trajectory , computer science , control engineering , kinematics , controller (irrigation) , process (computing) , robot control , trajectory optimization , object (grammar) , motion (physics) , motion control , control theory (sociology) , control (management) , simulation , artificial intelligence , mobile robot , engineering , agronomy , physics , classical mechanics , astronomy , biology , operating system
In order to improve the work efficiency of agricultural robots and reduce the errors in the operation process, the trajectory optimization control of agricultural robots is taken as the research object, and the mathematical model is introduced into the automatic controller to analyze the basic principles of kinematics and dynamics of agricultural robots. Design the motion control system of agricultural robot, conduct in-depth analysis of uncertain dynamic factors, and propose an adaptive learning method. Finally, computer simulation software was used for verification, and the results showed that the introduction of mathematical models into the design of automatic control of agricultural robots can optimize its motion trajectory, significantly improve the efficiency of agricultural robots, and reduce external interference factors.