2011
DOI: 10.1109/tmech.2010.2048118
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Onboard Real-Time Estimation of Vehicle Lateral Tire–Road Forces and Sideslip Angle

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Cited by 243 publications
(123 citation statements)
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“…Nilanjan et al [122] proposed a sliding mode observer along with modified Dugoff model to estimate the longitudinal velocity and friction coefficient; the only measured state was wheel angular velocity. Doumiati et al [86] proposed a real time algorithm to estimate the tire-road lateral forces and side slip angle using two estimation algorithms of extended and unscented Kalman filter, in which the lateral force was modeled using Dugoff model. Four-wheel vehicle model was used as the dynamical model of the system, and the measured states were longitudinal and lateral acceleration, yaw and roll rate, left and right suspension deflection and the angular velocity of each wheel.…”
Section: Dugoff Tire Modelmentioning
confidence: 99%
“…Nilanjan et al [122] proposed a sliding mode observer along with modified Dugoff model to estimate the longitudinal velocity and friction coefficient; the only measured state was wheel angular velocity. Doumiati et al [86] proposed a real time algorithm to estimate the tire-road lateral forces and side slip angle using two estimation algorithms of extended and unscented Kalman filter, in which the lateral force was modeled using Dugoff model. Four-wheel vehicle model was used as the dynamical model of the system, and the measured states were longitudinal and lateral acceleration, yaw and roll rate, left and right suspension deflection and the angular velocity of each wheel.…”
Section: Dugoff Tire Modelmentioning
confidence: 99%
“…The unscented transformation enables better capturing of mean and covariance of GRVs than simple point-linearization of the mapping: posterior mean and covariance are accurate to the second order of the Taylor series expansion for any nonlinearity. More information about the unscented Kalman filter theory can be found in [21] and [22] while different applications of UKF are presented in [23][24][25].…”
Section: Estimation Of Field-oriented Con-trol Variablesmentioning
confidence: 99%
“…Computational effort of UKF with carefully implemented algorithm can be similar to that of the EKF. More information can be found in [14] and [15] while different applications of UKF are presented in [16,17]. The UKF algorithm is given in the sequel.…”
Section: Unscented Kalman Filter Algorithmmentioning
confidence: 99%