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Research on the Prediction Method of Braking Rotation Angle for Remote-Controlled Excavator
To calculate, analyze, and predict the rotation angle during the deceleration and braking process of large remote-controlled excavators, this article established a spatial coordinate system based on a simplified model of a hydraulic excavator’s upper structure. Using the D-H parameter method, a math...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422292/ https://www.ncbi.nlm.nih.gov/pubmed/37571563 http://dx.doi.org/10.3390/s23156780 |
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author | Lin, Yutong Xiong, Jingqi Zhu, Wenlian Sun, Rui |
author_facet | Lin, Yutong Xiong, Jingqi Zhu, Wenlian Sun, Rui |
author_sort | Lin, Yutong |
collection | PubMed |
description | To calculate, analyze, and predict the rotation angle during the deceleration and braking process of large remote-controlled excavators, this article established a spatial coordinate system based on a simplified model of a hydraulic excavator’s upper structure. Using the D-H parameter method, a mathematical model of the working device’s center of gravity and its rotational inertia was established. Based on the characteristics of the excavator’s hydraulic system and the relationship between brake torque variations, a prediction model was developed to forecast the stopping position (brake rotary angle) of the excavator’s bucket after braking. Subsequently, the predicted results were validated using simulation and compared with existing experimental data to assess the accuracy of the model. The findings demonstrate that the predictive model exhibited high precision with minimal error. The utilization of this model enabled effective forecasting of the excavator’s braking position changes, providing a theoretical foundation for the intelligent remote control of excavators. |
format | Online Article Text |
id | pubmed-10422292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104222922023-08-13 Research on the Prediction Method of Braking Rotation Angle for Remote-Controlled Excavator Lin, Yutong Xiong, Jingqi Zhu, Wenlian Sun, Rui Sensors (Basel) Article To calculate, analyze, and predict the rotation angle during the deceleration and braking process of large remote-controlled excavators, this article established a spatial coordinate system based on a simplified model of a hydraulic excavator’s upper structure. Using the D-H parameter method, a mathematical model of the working device’s center of gravity and its rotational inertia was established. Based on the characteristics of the excavator’s hydraulic system and the relationship between brake torque variations, a prediction model was developed to forecast the stopping position (brake rotary angle) of the excavator’s bucket after braking. Subsequently, the predicted results were validated using simulation and compared with existing experimental data to assess the accuracy of the model. The findings demonstrate that the predictive model exhibited high precision with minimal error. The utilization of this model enabled effective forecasting of the excavator’s braking position changes, providing a theoretical foundation for the intelligent remote control of excavators. MDPI 2023-07-28 /pmc/articles/PMC10422292/ /pubmed/37571563 http://dx.doi.org/10.3390/s23156780 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lin, Yutong Xiong, Jingqi Zhu, Wenlian Sun, Rui Research on the Prediction Method of Braking Rotation Angle for Remote-Controlled Excavator |
title | Research on the Prediction Method of Braking Rotation Angle for Remote-Controlled Excavator |
title_full | Research on the Prediction Method of Braking Rotation Angle for Remote-Controlled Excavator |
title_fullStr | Research on the Prediction Method of Braking Rotation Angle for Remote-Controlled Excavator |
title_full_unstemmed | Research on the Prediction Method of Braking Rotation Angle for Remote-Controlled Excavator |
title_short | Research on the Prediction Method of Braking Rotation Angle for Remote-Controlled Excavator |
title_sort | research on the prediction method of braking rotation angle for remote-controlled excavator |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422292/ https://www.ncbi.nlm.nih.gov/pubmed/37571563 http://dx.doi.org/10.3390/s23156780 |
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