Analysis and Experimental Investigation of Steering Kinematics of Driven Steering Crawler Harvester Chassis DOI Creative Commons
Yanxin Wang, Chengqian Jin, Tengxiang Yang

и другие.

Agriculture, Год журнала: 2023, Номер 14(1), С. 65 - 65

Опубликована: Дек. 29, 2023

In the context of automatic driving, analysis steering motion characteristics is critical for enhancing efficiency crawler harvesters. To address issues such as low transmission and large radius encountered by traditional harvesters featuring hydrostatic drives, a driven harvester chassis was designed. This involved system structure its under several conditions, including differential steering, direction reversal, unilateral braking steering. The parameters were determined based on real-time kinematic positioning–global navigation satellite (RTK-GNSS) measurements, they compared with theoretical predictions kinematics. slip rates modified models various modes then obtained. results indicated that increase in ratio between running input speeds led to larger track radii smaller average rotational angular velocities. Remarkably, slopes linear fits tracked varied significantly reversal modes. Compared actual results, correlation coefficient fitting model close 1. parameter deemed suitable operational requirements. provide valuable reference designing operating different road surfaces.

Язык: Английский

Path tracking control of paddy field weeder integrated with satellite and visual methods DOI

Dongshun Chen,

Qiaolong Wang,

Yi Lin

и другие.

Computers and Electronics in Agriculture, Год журнала: 2025, Номер 234, С. 110257 - 110257

Опубликована: Март 13, 2025

Язык: Английский

Процитировано

0

Path Tracking Control of a Large Rear-Wheel–Steered Combine Harvester Using Feedforward PID and Look-Ahead Ackermann Algorithms DOI Creative Commons

Shaocen Zhang,

Qingshan Liu,

Haihui Xu

и другие.

Agriculture, Год журнала: 2025, Номер 15(7), С. 676 - 676

Опубликована: Март 22, 2025

Autonomous driving solutions for agricultural machinery have advanced rapidly; however, large-wheeled harvesters present unique challenges compared to traditional vehicles. Specifically, the 5.4 m cutting width, 9.2 minimum turning diameter, and rear-wheel–steered configuration demand specialized path tracking steering methods. To address these challenges, this study developed an integrated system combining feedforward PID Look-Ahead Ackermann (LAA) algorithms with sensors, actuators, embedded control platform. Field experiments indicated that maintained average lateral deviation of approximately 5 cm on straight-line paths, slightly larger errors observed only during or alignment maneuvers. Additionally, a “three-cut” method was implemented, which enhanced accuracy prevented crop damage at headland turns. Successful field tests confirmed robustness system, highlighting its practical potential production-level autonomous harvesting.

Язык: Английский

Процитировано

0

Research on Steering Path Tracking Performance of Articulated Quad‐Tracked Vehicle Based on Fuzzy PID Control DOI
Shuai Wang,

S.Y. Liu,

Guoqiang Wang

и другие.

Journal of Field Robotics, Год журнала: 2025, Номер unknown

Опубликована: Май 18, 2025

ABSTRACT The articulated quad‐track vehicles exhibit excellent mobility and obstacle‐crossing capabilities in outdoor environments, making them widely applicable agriculture military fields. Their steering control is a complex issue influenced by numerous factors. To reduce the computational complexity of controller, achieve rapid system response, simultaneously improve stability precision during process, an optimal matching analysis performed between inner outer track speed ratios deflection angles at front rear articulation points vehicle. By utilizing fuzzy proportional–integral–derivative visual navigation, path‐tracking experimental platform for vehicle designed. Through combination virtual prototype simulations physical experiments, distance deviation heading angle actual driving path prototypes preset are analyzed. designed path–tracking can adjust speeds left right tracks point based on path, enabling to path. Under stable conditions, within 0.1 m, 6°, demonstrating performance.

Язык: Английский

Процитировано

0

Adaptive path tracking and control system for unmanned crawler harvesters in paddy fields DOI

Shaocen Zhang,

Xinhua Wei,

Chengliang Liu

и другие.

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 230, С. 109878 - 109878

Опубликована: Дек. 30, 2024

Язык: Английский

Процитировано

2

A cutting width measurement method for the unmanned rice harvester based on RGB-D images DOI

Jingwei Sun,

Jun Zhou, Yundong Wang

и другие.

Measurement, Год журнала: 2023, Номер 224, С. 113777 - 113777

Опубликована: Окт. 29, 2023

Язык: Английский

Процитировано

5

Improved biological neural network approach for path planning of differential drive agricultural robots with arbitrary shape DOI
Zhan Zhao, Sisi Liu,

Jun Wei

и другие.

Computers and Electronics in Agriculture, Год журнала: 2023, Номер 216, С. 108525 - 108525

Опубликована: Дек. 13, 2023

Язык: Английский

Процитировано

5

Parking precise alignment control and cotransporter system for rice harvester and transporter DOI
Wenyu Zhang, Liwen Hu, Fan Ding

и другие.

Computers and Electronics in Agriculture, Год журнала: 2023, Номер 215, С. 108443 - 108443

Опубликована: Ноя. 25, 2023

Язык: Английский

Процитировано

4

Hydraulic excavator track supporting wheel oil leakage fault analysis DOI

Shuai Wang,

Dongxia Zheng,

Shuwei Wu

и другие.

Engineering Failure Analysis, Год журнала: 2024, Номер 164, С. 108680 - 108680

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

1

Research on Satellite Navigation Control of Six‐Crawler Machinery Based on Fuzzy PID Algorithm DOI
Shuai Wang, Wang Huimin,

Zhang Haoyan

и другие.

Journal of Field Robotics, Год журнала: 2024, Номер unknown

Опубликована: Сен. 9, 2024

ABSTRACT The six‐crawler driving mechanism plays a crucial role in the operation of large machines such as bucket‐wheel excavators, dumping machines, and mobile crushing stations, it serves functions like bearing, movement steering. characteristics this directly influence safety efficiency these machinery systems. To enhance design methodology for multi‐crawler machinery, improve path controllability, achieve adaptive driving, satellite navigation control system was developed based on principles real‐time kinematic (RTK) positioning. This utilizes distance deviation heading angle between actual predetermined inputs to fuzzy proportion integration differentiation (fuzzy PID) controller. controller regulates steering crawler speeds each track, thereby ensuring precise tracking control. evaluate performance under both straight curved conditions, virtual prototype model mechanical established, co‐simulation analysis conducted. In addition, an experimental platform established validate efficacy system. data obtained from various conditions initial deviations demonstrated that RTK exhibited excellent performance.

Язык: Английский

Процитировано

1

Integrating UAV, UGV and UAV-UGV collaboration in future industrialized agriculture: Analysis, opportunities and challenges DOI
Zhigang Ren,

Han Zheng,

Jian Chen

и другие.

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 227, С. 109631 - 109631

Опубликована: Ноя. 23, 2024

Язык: Английский

Процитировано

1