- Tytuł:
- Estimation of vehicle sideslip angle via pseudo-multisensor information fusion method
- Autorzy:
-
Chen, T.
Chen, L.
Cai, Y.
Xu, X. - Powiązania:
- https://bibliotekanauki.pl/articles/220661.pdf
- Data publikacji:
- 2018
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
vehicle state estimation
sideslip angle
recursive least squares
multi-sensor information fusion
pseudo-measurements - Opis:
- This paper presents a novel sideslip angle estimator based on the pseudo-multi-sensor fusion method. The kinematics-based and dynamics-based sideslip angle estimators are designed for sideslip angle estimation. Also, considering the influence of ill-conditioned matrix and model uncertainty, a novel sideslip angle estimator is proposed based on the wheel speed coupling relationship using a modified recursive least squares algorithm. In order to integrate the advantages of above three sideslip angle estimators, drawing lessons from the multisensory information fusion technology, a novel thinking of sideslip angle estimator design is presented through information fusion of pseudo-multi-sensors. Simulations and experiments were carried out, and effectiveness of the proposed estimation method was verified.
- Źródło:
-
Metrology and Measurement Systems; 2018, 25, 3; 499-516
0860-8229 - Pojawia się w:
- Metrology and Measurement Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł