Open AccessModeling and Simulation Research of Heavy-duty AGV Tracking Control System Based on Magnetic Navigation
Author(s) -
Xiaojian Zhou,
Liping Jin,
Yuyan Liu
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 - 10.1088/1742-6596/1746/1/012021
Subject(s) - trajectory , matlab , control theory (sociology) , heavy duty , tracking (education) , automated guided vehicle , scheme (mathematics) , computer science , control engineering , control system , fuzzy control system , fuzzy logic , engineering , control (management) , simulation , automotive engineering , artificial intelligence , mathematics , psychology , pedagogy , electrical engineering , mathematical analysis , physics , astronomy , operating system
This paper studies tracking control problem which is applied on the 16-wheel heavy-duty AGV(Automated Guided Vehicle). Firstly, the trajectory detection scheme is designed based on magnetic navigation sensors. Secondly, the 16-wheel heavy-duty AGV control model is simplified as a two-wheel AGV model according to Ackermann steering principle, and fuzzy trajectory control regulation is established based on car driving experience. Finally, a trajectory control simulation system for circular/straight trajectories is built in MATLAB Simulink to verify the effectiveness on trajectory control.