Pregled bibliografske jedinice broj: 1074002
Experimental Analysis of Kalman Filter-Based Vehicle Sideslip Angle Estimation Accuracy and Related Error-Compensation Techniques
Experimental Analysis of Kalman Filter-Based Vehicle Sideslip Angle Estimation Accuracy and Related Error-Compensation Techniques // 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
Dubrovnik, Hrvatska, 2020. doi:10.1109/I2MTC43012.2020.9128588 (predavanje, međunarodna recenzija, ostalo, znanstveni)
CROSBI ID: 1074002 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Experimental Analysis of Kalman Filter-Based
Vehicle Sideslip Angle Estimation Accuracy and
Related Error-Compensation Techniques
Autori
Hrgetić, Mario ; Deur, Joško
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, ostalo, znanstveni
Skup
2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
Mjesto i datum
Dubrovnik, Hrvatska, 25.05.2020. - 28.05.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
vehicle dynamics, estimation, sideslip angle, Kalman filter, accuracy analysis
Sažetak
The paper presents an extended Kalman filterbased vehicle sideslip angle estimator, designed by using singletrack vehicle dynamics model. Within the vehicle dynamics model, the tire forces have been modeled as random walk stochastic sate variables. The accuracy of such estimator methodology has been investigated by running the estimator algorithm off-line on sets of experimental data recorded on the test vehicle. These data sets include those acquired from a high-precision inertial measurement unit and standard vehicle dynamics sensors. Moreover, major sources of the estimation errors have been identified and practical error compensation procedures have been proposed to significantly improve the sideslip angle estimation accuracy in the case of using the standard production vehicle sensors. In particular, the influence of vehicle roll and road bank angles is analyzed and compensated for.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Strojarstvo
POVEZANOST RADA
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus