Neural network modeling of ideal characteristics reference model for

Abstract

Abstract:

This paper studied on the neural network modeling of X-by-wire vehicle ideal characteristics reference model to achieve "car adaption for driver", which are achieved by integrating the X-by-wire systems. The driver characteristics were classified and the control principle of car ideal characteristics was given. The car driving simulator experiment was designed and the neural network modeling for the ideal characteristics reference model was studied. The accuracy of model, degree of reflecting characteristics and real-time of model were verified by experiments. The results show that the reference model with ideal characteristics has high precision, real-time and can reflect different driving characteristics, so the method is feasible.

Key words: vehicle engineering, X-by-wire vehicle, integrated control, car adaption for driver, ideal characteristics reference model, neural network modeling

CLC Number:

U463.1

ZONG Chang-fu, LIN Na, LI Gang, ZHANG Ze-xing, CHENG Wei, ZHENG Hong-yu, LIU Ming-hui. Neural network modeling of ideal characteristics reference model for "car adaption for driver" X-by-wire vehicle[J].吉林大学学报(工学版), 2013, 43(增刊1): 514-520.

References

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