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Vehicle Velocity Estimation based on Data fusion by Kalman Filtering for ABS

عنوان مقاله: Vehicle Velocity Estimation based on Data fusion by Kalman Filtering for ABS
شناسه ملی مقاله: ICEE20_550
منتشر شده در بیستمین کنفرانس مهندسی برق ایران در سال 1391
مشخصات نویسندگان مقاله:

Melika Amiri - Islamic Azaduniversity, Science and Research
Bijan Moaveni - Assistant Professor, School of Railway Engineering- Electrical Railway, Iran University of Science TechnologyTehran, Iran

خلاصه مقاله:
During the braking process, because of difference between the wheel velocity and the linear vehicle velocity, the slip occurred and it is made vehicle to lose steering control and thefriction force, which stops the vehicle, is greatly reduced. To solve this problem, the Antilock Break System (ABS) was proposed,which monitors the wheel velocity and the vehicle velocity to detect and control the slip. The main stage in slip evaluation is vehicle velocity estimation and there are several methods for it,where each one has its advantages and drawbacks. In this paper, an analytical and practical solution to estimate the accuratevehicle velocity estimation based on the data fusion algorithms and during the breaking process is developed. Finally, simulation results show the effectiveness of the new methodology.

کلمات کلیدی:
Antilock Break System, Slip Control, Vehicle Velocity Estimation, Data fusion

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/154758/