Research on Braking Distance Prediction Method of Satellite Car for Tamping Based on BP Neural Network
To deal with the obstacles in the automatic tamping system of D09-32 type tamping vehicles, such as the complicated braking distance prediction algorithm of satellite car and the challenges in engineering implementation, this paper proposes a braking distance prediction method based on BP neural net...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2023-06-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.03.005 |
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| _version_ | 1849224951411769344 |
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| author | ZHUO Haijun XIAO Xin HU Zhenfan WANG Jianhong ZHANG Yanlei |
| author_facet | ZHUO Haijun XIAO Xin HU Zhenfan WANG Jianhong ZHANG Yanlei |
| author_sort | ZHUO Haijun |
| collection | DOAJ |
| description | To deal with the obstacles in the automatic tamping system of D09-32 type tamping vehicles, such as the complicated braking distance prediction algorithm of satellite car and the challenges in engineering implementation, this paper proposes a braking distance prediction method based on BP neural network. By leveraging the data of real-time speed and position of the satellite car, the braking distance of the satellite car at the current speed and position is predicted by a BP neural network model representing the relationship between car's braking speed and position and its corresponding braking distance. The key model of this prediction method was simulated using Matlab software and the results were compared with the sample values. The comparison results show that the proposed braking distance prediction method based on BP neural network can satisfactorily predict the satellite car's braking distance. Compared with the currently prevailing linear fitting prediction method, the prediction error of this method is reduced by 48.4% on average, which can effectively improve the precision of automatic tamping, thus raising applicability and robustness of the tamping vehicles. |
| format | Article |
| id | doaj-art-5f815b05a6b1413da435d9ffa80dbabf |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2023-06-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-5f815b05a6b1413da435d9ffa80dbabf2025-08-25T06:48:27ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272023-06-01394439334766Research on Braking Distance Prediction Method of Satellite Car for Tamping Based on BP Neural NetworkZHUO HaijunXIAO XinHU ZhenfanWANG JianhongZHANG YanleiTo deal with the obstacles in the automatic tamping system of D09-32 type tamping vehicles, such as the complicated braking distance prediction algorithm of satellite car and the challenges in engineering implementation, this paper proposes a braking distance prediction method based on BP neural network. By leveraging the data of real-time speed and position of the satellite car, the braking distance of the satellite car at the current speed and position is predicted by a BP neural network model representing the relationship between car's braking speed and position and its corresponding braking distance. The key model of this prediction method was simulated using Matlab software and the results were compared with the sample values. The comparison results show that the proposed braking distance prediction method based on BP neural network can satisfactorily predict the satellite car's braking distance. Compared with the currently prevailing linear fitting prediction method, the prediction error of this method is reduced by 48.4% on average, which can effectively improve the precision of automatic tamping, thus raising applicability and robustness of the tamping vehicles.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.03.005automatic tampingprediction methodBP neural networkD09-32 tamping vehiclesatellite carbraking distance |
| spellingShingle | ZHUO Haijun XIAO Xin HU Zhenfan WANG Jianhong ZHANG Yanlei Research on Braking Distance Prediction Method of Satellite Car for Tamping Based on BP Neural Network Kongzhi Yu Xinxi Jishu automatic tamping prediction method BP neural network D09-32 tamping vehicle satellite car braking distance |
| title | Research on Braking Distance Prediction Method of Satellite Car for Tamping Based on BP Neural Network |
| title_full | Research on Braking Distance Prediction Method of Satellite Car for Tamping Based on BP Neural Network |
| title_fullStr | Research on Braking Distance Prediction Method of Satellite Car for Tamping Based on BP Neural Network |
| title_full_unstemmed | Research on Braking Distance Prediction Method of Satellite Car for Tamping Based on BP Neural Network |
| title_short | Research on Braking Distance Prediction Method of Satellite Car for Tamping Based on BP Neural Network |
| title_sort | research on braking distance prediction method of satellite car for tamping based on bp neural network |
| topic | automatic tamping prediction method BP neural network D09-32 tamping vehicle satellite car braking distance |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.03.005 |
| work_keys_str_mv | AT zhuohaijun researchonbrakingdistancepredictionmethodofsatellitecarfortampingbasedonbpneuralnetwork AT xiaoxin researchonbrakingdistancepredictionmethodofsatellitecarfortampingbasedonbpneuralnetwork AT huzhenfan researchonbrakingdistancepredictionmethodofsatellitecarfortampingbasedonbpneuralnetwork AT wangjianhong researchonbrakingdistancepredictionmethodofsatellitecarfortampingbasedonbpneuralnetwork AT zhangyanlei researchonbrakingdistancepredictionmethodofsatellitecarfortampingbasedonbpneuralnetwork |