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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/15/6780 |
| _version_ | 1797586034802819072 |
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| author | Yutong Lin Jingqi Xiong Wenlian Zhu Rui Sun |
| author_facet | Yutong Lin Jingqi Xiong Wenlian Zhu Rui Sun |
| author_sort | Yutong Lin |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T00:16:35Z |
| format | Article |
| id | doaj.art-806dc4f2118949e4a899cf38fd24e0c7 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T00:16:35Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-806dc4f2118949e4a899cf38fd24e0c72023-11-18T23:34:22ZengMDPI AGSensors1424-82202023-07-012315678010.3390/s23156780Research on the Prediction Method of Braking Rotation Angle for Remote-Controlled ExcavatorYutong Lin0Jingqi Xiong1Wenlian Zhu2Rui Sun3Mechanical and Electrical Engineering, University of Electronical Science and Technology, Chengdu 611731, ChinaMechanical and Electrical Engineering, University of Electronical Science and Technology, Chengdu 611731, ChinaMechanical and Electrical Engineering, University of Electronical Science and Technology, Chengdu 611731, ChinaMechanical and Electrical Engineering, University of Electronical Science and Technology, Chengdu 611731, ChinaTo 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.https://www.mdpi.com/1424-8220/23/15/6780remote-controlled excavatorthe center of gravity positionrotational inertiabraking torquebraking rotation angle |
| spellingShingle | Yutong Lin Jingqi Xiong Wenlian Zhu Rui Sun Research on the Prediction Method of Braking Rotation Angle for Remote-Controlled Excavator Sensors remote-controlled excavator the center of gravity position rotational inertia braking torque braking rotation angle |
| 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 | remote-controlled excavator the center of gravity position rotational inertia braking torque braking rotation angle |
| url | https://www.mdpi.com/1424-8220/23/15/6780 |
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