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Vehicle Rollover Warning and Control Based on Attitude Detection and Fuzzy PID

التفاصيل البيبلوغرافية
العنوان: Vehicle Rollover Warning and Control Based on Attitude Detection and Fuzzy PID
المؤلفون: Ruiyang Wang, Xiangbo Xu, Shao Chen, Ningyan Guo, Zhibin Yu
المصدر: Applied Sciences, Vol 13, Iss 7, p 4339 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: vehicle, line-controlled auxiliary braking, LTR, fuzzy-PID control, co-simulation, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: Car rollovers are a class of serious traffic accidents that can easily cause heavy casualties and property damage, particularly for special operation vehicles. To enhance the driving stability of vehicles on forest roads, we developed a control strategy for wire-controlled auxiliary braking based on body-attitude detection and the overall design of the system. Moreover, the control system was further investigated and developed. A three-degrees-of-freedom (3-DOF) vehicle dynamics model with longitudinal, lateral, and lateral tilt was developed based on actual-vehicle test data. The lateral load-transfer rate (LTR) of the vehicle was selected as the early warning algorithm for vehicle rollover; the differential braking of the vehicle was realized by adjusting the pressure of the wheel cylinders; and automatic speed reduction was achieved according to the rollover attitude of the vehicle by combining the fuzzy-PID control algorithm. Finally, a vehicle dynamics model was developed, and the results verified the effectiveness of the anti-rollover control strategy under extreme operating conditions.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/13/7/4339; https://doaj.org/toc/2076-3417
DOI: 10.3390/app13074339
URL الوصول: https://doaj.org/article/29fd38b84d9148199ebeda85579bfc8e
رقم الأكسشن: edsdoj.29fd38b84d9148199ebeda85579bfc8e
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20763417
DOI:10.3390/app13074339