Simulation Research on Vehicle Handling Inverse Dynamics Based on Radial Basis Function Neural Networks

Rui Yu

doi:10.4028/www.scientific.net/AMM.484-485.1093

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 484-485Simulation Research on Vehicle Handling Inverse...

Simulation Research on Vehicle Handling Inverse Dynamics Based on Radial Basis Function Neural Networks

Abstract:

Based on a brief review of the developing history of vehicle steering inverse dynamics, and using radial basis function neural network, the nonlinear mapping relation between lateral angular velocity and steering angle input is found. The identification results of step and sine steering angle input show that the proposed identification method is not only practical, but also with high accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 484-485)

Pages:

1093-1097

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.484-485.1093

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Online since:

January 2014

Authors:

Rui Yu

Keywords:

Inverse Problem, RBF Neural Network, Simulation, Vehicle Steering Dynamics

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References

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