Modeling and Design of Fuzzy-Neural Network Controller of Electric Power Steering System

Abstract:

Most Automotbile Electric Power Steering (EPS) controller designs are based on a simplified accurate model,however,EPS controller is affected by many nonlinear friction and damping easily, such as road condition,sensor noises and the lateral wind disturbance.These uncertainties affect the accuracy of assist current, the EPS performance and the driving safety. Aimed at the nonlinear MIMO system of electric power steering system,the mechanism and dynamic characteristic of EPS is analysed,and EPS model is developed. Then the fuzzy-neural network controller is designed and the corresponding simulation is performed.The results show that the proposed EPS control strategy can provide good performance of stability and controllability and can increase the anti-jamming capability of vehicle.

• Periodical: Applied Mechanics and Materials (Volume 596)
• Pages: 751-754
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.596.751
• Online since: July 2014
• Authors: Guo Qing Geng*
• Keywords: Automobile, Controller, Electric Power Steering, EPS, Fuzzy Neural Network (FNN)

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