Design and verification of automatic navigation control system for large high clearance self-propelled sprayer

An automatic navigation system aiming at improving the accuracy and efficiency of a large high clearance self-propelled sprayer was developed. First, a navigation hydraulic steering system was designed according to the structural characteristics and operation requirements of the sprayer, and a mathematical model of the system was established to describe the working characteristics of the navigation system. The system includes a navigation control strategy, a pure pursuit path tracking algorithm, and a fuzzy adaptive proportional-integral-derivative control method. To verify the performance of the system, a simulation model was developed using MATLAB/Simulink, and the performance of the control methods were compared. Additionally, an actual vehicle test platform was built based on 3WPG-3000 high clearance self-propelled sprayer independently developed by the research group. The simulation results revealed that under the two-wheel steering mode, the lateral position deviation of the vehicle decreases to 0 m in 11 s, and the heading angle deviation decreases to 0 rad in about 11 s; while under four-wheel steering mode, the lateral position deviation of the vehicle decreases to 0 m in 8 s, and the heading angle deviation decreases to 0 rad in 8 s. The field test results revealed that at the speed of 3 km/h, the sprayer tracked the target path in 5.84 s under the two-wheel steering mode and reached stability, and tracked the target path in 4.08 s under the four-wheel steering mode and reached stability; while at the speed of 5 km/h, the spray tracked the target path in 3.75 s under the four-wheel steering mode and reached stability. Altogether, the results of the simulation and field test verify the stability, accuracy, and practicability of the system.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2024-09-14
DOI
https://doi.org/10.1177/09544070241280403
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.25

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and verification of automatic navigation control system for large high clearance self-propelled sprayer

Wei Li, Zhijuan Sun, Yuefeng Du, Mingxi Shao et al.
1 citations
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Robotic Path Planning Algorithms
0.25
article

Design and verification of automatic navigation control system for large high clearance self-propelled sprayer

Wei Li, Zhijuan Sun, Yuefeng Du, Mingxi Shao, Fan Yang, Zhixiang Li
article en
1 citations

Abstract

An automatic navigation system aiming at improving the accuracy and efficiency of a large high clearance self-propelled sprayer was developed. First, a navigation hydraulic steering system was designed according to the structural characteristics and operation requirements of the sprayer, and a mathematical model of the system was established to describe the working characteristics of the navigation system. The system includes a navigation control strategy, a pure pursuit path tracking algorithm, and a fuzzy adaptive proportional-integral-derivative control method. To verify the performance of the system, a simulation model was developed using MATLAB/Simulink, and the performance of the control methods were compared. Additionally, an actual vehicle test platform was built based on 3WPG-3000 high clearance self-propelled sprayer independently developed by the research group. The simulation results revealed that under the two-wheel steering mode, the lateral position deviation of the vehicle decreases to 0 m in 11 s, and the heading angle deviation decreases to 0 rad in about 11 s; while under four-wheel steering mode, the lateral position deviation of the vehicle decreases to 0 m in 8 s, and the heading angle deviation decreases to 0 rad in 8 s. The field test results revealed that at the speed of 3 km/h, the sprayer tracked the target path in 5.84 s under the two-wheel steering mode and reached stability, and tracked the target path in 4.08 s under the four-wheel steering mode and reached stability; while at the speed of 5 km/h, the spray tracked the target path in 3.75 s under the four-wheel steering mode and reached stability. Altogether, the results of the simulation and field test verify the stability, accuracy, and practicability of the system.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile EngineeringVol. 239(12)
Qinghai University (CN), Open University of China (CN), China Agricultural University (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 47%
Robotic Path Planning Algorithms
0.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.