Four-wheel-steering(4WS)systems have been studied and developed with remarkable success from the viewpoint of vehicle dynamics. Most of the control methods require a linearized bicycle model of the actual vehicle system which is however strongly influenced by tire nonlinearity. This paper proposes a new method to design the 4WS system taking into account the nonlinear characteristics of tires and suspensions. For this purpose integration of artificial neural network and linear control theory is introduced for the identification and control of a nonlinear vehicle model structured using a software for multi-body dynamic analysis (ADAMS). This model takes into account the nonlinear characteristics of actual vehicles with tires modeled by 'magic formula'. The results of computer simulations show that the proposed nonlinear approach is efficient in improving the handling and stability of vehicles.
Nonlinear design approach to four-wheel-steering systems using neural networks
Nichtlineare Näherungsauslegung für Allrad-Lenkungssysteme mittels neuronaler Netze
Vehicle System Dynamics ; 24 , 4/5, Special Issue AVEC 1994 ; 329-342
1995
14 Seiten, 13 Bilder, 2 Tabellen, 6 Quellen
Aufsatz (Zeitschrift)
Englisch
Nonlinear Design Approach to Four-Wheel-Steering Systems Using Neural Networks
Online Contents | 1995
|Nonlinear Design Approach to Four-Wheel-Steering Systems Using Neural Networks
British Library Conference Proceedings | 1995
|Nonlinear Design Approach to Four-Wheel-Steering Systems Using Neural Networks
Taylor & Francis Verlag | 1995
|Nonlinear design approach to four-wheel-steering systems using neural networks
Kraftfahrwesen | 1995
|British Library Conference Proceedings | 1994
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