TY - JOUR
T1 - Adaptive estimation of road gradient and vehicle parameters for vehicular systems
AU - Yang, Juan
AU - Na, Jing
AU - Guo, Yu
AU - Wu, Xing
PY - 2015/4/13
Y1 - 2015/4/13
N2 - To improve the vehicle driving performance, adaptive parameter estimation is studied to simultaneously estimate the road gradient, vehicle mass and other vehicle parameters, which requires the vehicle longitudinal velocity and driving force only. Different to conventional gradient and recursive least square methods, the parameter estimation error is obtained to drive the adaptive laws for estimating unknown parameters, where exponential convergence can be guaranteed under the classical persistently excitation condition. Moreover, finite-time parameter estimation is achieved by incorporating the sliding mode technique into the adaptive laws. The robustness of the proposed adaptations against bounded disturbances is studied. Simulation results illustrate that the presented methods can obtain faster transient and better steady-state performance than some available methods.
AB - To improve the vehicle driving performance, adaptive parameter estimation is studied to simultaneously estimate the road gradient, vehicle mass and other vehicle parameters, which requires the vehicle longitudinal velocity and driving force only. Different to conventional gradient and recursive least square methods, the parameter estimation error is obtained to drive the adaptive laws for estimating unknown parameters, where exponential convergence can be guaranteed under the classical persistently excitation condition. Moreover, finite-time parameter estimation is achieved by incorporating the sliding mode technique into the adaptive laws. The robustness of the proposed adaptations against bounded disturbances is studied. Simulation results illustrate that the presented methods can obtain faster transient and better steady-state performance than some available methods.
UR - http://www.scopus.com/inward/record.url?scp=84928473296&partnerID=8YFLogxK
U2 - 10.1049/iet-cta.2014.0335
DO - 10.1049/iet-cta.2014.0335
M3 - Article (Academic Journal)
AN - SCOPUS:84928473296
SN - 1751-8644
VL - 9
SP - 935
EP - 943
JO - IET Control Theory and Applications
JF - IET Control Theory and Applications
IS - 6
ER -