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

DESIGN AND EXPERIMENT OF ARRAY-BASED FINGERPLATE DIFFERENTIAL FLOW SENSOR FOR RICE GRAIN MONITORING DOI Open Access

Qibin Li,

Yang Yu, Gang Guo

и другие.

INMATEH Agricultural Engineering, Год журнала: 2024, Номер unknown, С. 358 - 369

Опубликована: Дек. 13, 2024

Most existing grain flow sensors are designed for paddle-type elevators, with limited focus on applications in auger elevators. This paper addresses the yield monitoring needs during rice harvesting operations, specifically targeting auger-based outlets through experimental research. An array-type differential sensor was developed and an indoor test bench constructed to evaluate its performance. The study compares effectiveness of time-domain frequency-domain processing, alongside various filtering methods, pre-processing sensor’s raw signals. Additionally, a regression model built using Random Forest algorithm. Experimental results demonstrated that errors field tests ranged from -6.42% 8.23%, indicating met requirements monitoring. provides valuable data feed rate detection, speed regulation, adjustments threshing cleaning systems combine harvesters, offering significant practical implications promotion development precision agriculture.

Язык: Английский

Процитировано

1

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

Процитировано

2