Vehicle Yaw Rate Estimation Using a Virtual Sensor
Joint Authors
Güvenç, Levent
Kahraman, Kerim
Efendioğlu, Barış
Şentürk, Mutlu
Emirler, Mümin Tolga
Aksun Güvenç, Bilin
Source
International Journal of Vehicular Technology
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-24
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Telecommunications Engineering
Electronic engineering
Abstract EN
Road vehicle yaw stability control systems like electronic stability program (ESP) are important active safety systems used for maintaining lateral stability of the vehicle.
Vehicle yaw rate is the key parameter that needs to be known by a yaw stability control system.
In this paper, yaw rate is estimated using a virtual sensor which contains kinematic relations and a velocity-scheduled Kalman filter.
Kinematic estimation is carried out using wheel speeds, dynamic tire radius, and front wheel steering angle.
In addition, a velocity-scheduled Kalman filter utilizing the linearized single-track model of the road vehicle is used in the dynamic estimation part of the virtual sensor.
The designed virtual sensor is successfully tested offline using a validated, high degrees of freedom, and high fidelity vehicle model and using hardware-in-the-loop simulations.
Moreover, actual road testing is carried out and the estimated yaw rate from the virtual sensor is compared with the actual yaw rate obtained from the commercial yaw rate sensor to demonstrate the effectiveness of the virtual yaw rate sensor in practical use.
American Psychological Association (APA)
Emirler, Mümin Tolga& Kahraman, Kerim& Şentürk, Mutlu& Aksun Güvenç, Bilin& Güvenç, Levent& Efendioğlu, Barış. 2013. Vehicle Yaw Rate Estimation Using a Virtual Sensor. International Journal of Vehicular Technology،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-482610
Modern Language Association (MLA)
Emirler, Mümin Tolga…[et al.]. Vehicle Yaw Rate Estimation Using a Virtual Sensor. International Journal of Vehicular Technology No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-482610
American Medical Association (AMA)
Emirler, Mümin Tolga& Kahraman, Kerim& Şentürk, Mutlu& Aksun Güvenç, Bilin& Güvenç, Levent& Efendioğlu, Barış. Vehicle Yaw Rate Estimation Using a Virtual Sensor. International Journal of Vehicular Technology. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-482610
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482610