Vehicle longitudinal force estimation using adaptive neural network nonlinear observer
by Mourad Boufadene; Mohammed Belkheiri; Abdelhamid Rabhi; Ahmed El Hajjaji
International Journal of Vehicle Design (IJVD), Vol. 79, No. 4, 2019

Abstract: This paper presents an adaptive neural network (NN) nonlinear observer to estimate the longitudinal tyre forces as well as the lateral speed which is not measured on standard vehicles. The proposed adaptive neural network (NN) observer uses the longitudinal speed, yaw rate and the steering angle dynamics of the vehicle as measured states. It is used to estimate the states, and the longitudinal tyre forces, which are unknown dynamics, with high performance. The obtained simulation results show the effectiveness of the proposed neural network nonlinear observer.

Online publication date: Wed, 13-Nov-2019

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