The Application of the Elman Network on the Vehicle Handling Stability Control

Si Jia Zhou; Jiang Qi Long; Ke Gang Zhao

doi:10.4028/www.scientific.net/AMR.199-200.1457

Paper Titles

Design and Experimental Study of the Vibration Control Device for Large Spatial Structure
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Optimal Design of Main Parameters for Pumping Unit of Automotive Power Steering Units
p.1441

The NAVMI Factor and Natural Frequency of a Circular Plate Exposed to Water in Flexural Vibration
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Modal Analysis of Ball Mill Rotator Based on FEM Technique
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The Application of the Elman Network on the Vehicle Handling Stability Control
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3D Analysis of Vibration Isolation by Wave Impeding Block in Non-Uniform Layered Ground under Horizontal-Rocking Coupled Loading
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Research of Gas Heater with Different Intermediate Heat Carrier Medium
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Study on Thermal Contact Resistance for Heat Transfer of High Power LED Packaging
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Analysis of Thermal Resistence for High-Power Light-Emitting Diodes
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 199-200The Application of the Elman Network on the...

The Application of the Elman Network on the Vehicle Handling Stability Control

Abstract:

In this paper, an expanded Elman network is applied to forecast the vehicle dynamic characteristic and a one step predictive control is also put into use to reinforce its handling stability. The combined control strategy is established based on the conception of the distribution of the driving force between the front and rear driving axles that can be easily achieved in an EV. Moreover, in this research, the distribution proportion of longitudinal driving force defining as a parameter is introduced and the control method of vehicle stability with the aid of the distribution proportion between axles is investigated．Simu1ations have been carried out and the results indicate that the proposed control strategies achieve smooth control effects and rapid target tracking response. This method can be easily applied to the vehicles that are driven by motors, and is capable of improving the lateral dynamic stability of vehicles in most conditions．

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Periodical:

Advanced Materials Research (Volumes 199-200)

Pages:

1457-1461

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.199-200.1457

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Online since:

February 2011

Authors:

Si Jia Zhou, Jiang Qi Long, Ke Gang Zhao

Keywords:

Control, Electric Vehicle (EV), Neural Network (NN), Optimization, Vehicle Handling

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