Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic Safety
The braking failure of heavy vehicles under long downhill or curved conditions may cause traffic crash and reduce road traffic efficiency. Therefore, to improve the traffic safety and braking stability of vehicles under special road conditions, a braking dynamic model and control system based on the...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/5680599 |
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| _version_ | 1832558382902411264 |
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| author | Fahui Wang Yongjie Lu Haoyu Li |
| author_facet | Fahui Wang Yongjie Lu Haoyu Li |
| author_sort | Fahui Wang |
| collection | DOAJ |
| description | The braking failure of heavy vehicles under long downhill or curved conditions may cause traffic crash and reduce road traffic efficiency. Therefore, to improve the traffic safety and braking stability of vehicles under special road conditions, a braking dynamic model and control system based on the interval uncertainty analysis are proposed, and the safety of the active control model is verified by experiments (HIL). Firstly, the interval uncertain dynamic model is established based on the Monte Carlo method, and the braking failure simulation analysis of the right front wheel of heavy vehicles is carried out in the set of three uncertain intervals. Secondly, the fuzzy PID and sliding mode controller based on yaw and centroid error are designed to find the optimal control strategy from the two kinds of control strategies for HIL experiments. Finally, the actual control effect and feasibility of these control algorithms for heavy vehicle braking under special road conditions are verified by HIL experiments. The experimental results show that under the action of the fuzzy PID control strategy, the running stability of the vehicle is significantly improved compared with no control, which effectively reduces the risk of vehicle braking failure and improves the active safety and stability of the vehicle. |
| format | Article |
| id | doaj-art-475dd5fdf2a04936afcf893f7e24f457 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-475dd5fdf2a04936afcf893f7e24f4572025-02-03T01:32:28ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/5680599Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic SafetyFahui Wang0Yongjie Lu1Haoyu Li2Shijiazhuang Tiedao UniversityShijiazhuang Tiedao UniversityState Key Laboratory of Mechanical Behavior in Traffic Engineering Structure and System SafetyThe braking failure of heavy vehicles under long downhill or curved conditions may cause traffic crash and reduce road traffic efficiency. Therefore, to improve the traffic safety and braking stability of vehicles under special road conditions, a braking dynamic model and control system based on the interval uncertainty analysis are proposed, and the safety of the active control model is verified by experiments (HIL). Firstly, the interval uncertain dynamic model is established based on the Monte Carlo method, and the braking failure simulation analysis of the right front wheel of heavy vehicles is carried out in the set of three uncertain intervals. Secondly, the fuzzy PID and sliding mode controller based on yaw and centroid error are designed to find the optimal control strategy from the two kinds of control strategies for HIL experiments. Finally, the actual control effect and feasibility of these control algorithms for heavy vehicle braking under special road conditions are verified by HIL experiments. The experimental results show that under the action of the fuzzy PID control strategy, the running stability of the vehicle is significantly improved compared with no control, which effectively reduces the risk of vehicle braking failure and improves the active safety and stability of the vehicle.http://dx.doi.org/10.1155/2022/5680599 |
| spellingShingle | Fahui Wang Yongjie Lu Haoyu Li Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic Safety Journal of Advanced Transportation |
| title | Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic Safety |
| title_full | Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic Safety |
| title_fullStr | Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic Safety |
| title_full_unstemmed | Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic Safety |
| title_short | Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic Safety |
| title_sort | heavy duty vehicle braking stability control and hil verification for improving traffic safety |
| url | http://dx.doi.org/10.1155/2022/5680599 |
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