TY - GEN
T1 - A Comprehensive Benchmarking Study of Various Non-linear State Estimators for Vehicle Sideslip Angle Estimation
AU - Atheupe, Gaël P.
AU - Gurjar, Bhagyashri
AU - Kongue, Gordan
AU - Tapus, Adriana
AU - Monsuez, Bruno
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - This paper examines various non-linear state estimators for accuracy and robustness, estimating vehicle sideslip angle which is crucial for improving vehicle handling, stability, and safety in modern vehicle dynamic control systems. The study compares the performance of different state estimators under various driving conditions and driving scenarios, with a particular focus on a novel two-stage observer (of order n = 2) that combines a super-twisting sliding mode observer and a conventional sliding mode filter. The results demonstrate the effectiveness of the proposed observer, which outperforms other state estimators in terms of accuracy and robustness.
AB - This paper examines various non-linear state estimators for accuracy and robustness, estimating vehicle sideslip angle which is crucial for improving vehicle handling, stability, and safety in modern vehicle dynamic control systems. The study compares the performance of different state estimators under various driving conditions and driving scenarios, with a particular focus on a novel two-stage observer (of order n = 2) that combines a super-twisting sliding mode observer and a conventional sliding mode filter. The results demonstrate the effectiveness of the proposed observer, which outperforms other state estimators in terms of accuracy and robustness.
U2 - 10.1109/IV55156.2024.10588645
DO - 10.1109/IV55156.2024.10588645
M3 - Conference contribution
AN - SCOPUS:85199765305
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 1939
EP - 1946
BT - 35th IEEE Intelligent Vehicles Symposium, IV 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th IEEE Intelligent Vehicles Symposium, IV 2024
Y2 - 2 June 2024 through 5 June 2024
ER -