An Intelligent Second-Order Sliding-Mode Control for an Electric Power Steering System Using a Wavelet Fuzzy Neural Network

2014 ◽  
Vol 22 (6) ◽  
pp. 1598-1611 ◽  
Author(s):  
Faa-Jeng Lin ◽  
Ying-Chih Hung ◽  
Kai-Chun Ruan
2014 ◽  
Vol 596 ◽  
pp. 751-754
Author(s):  
Guo Qing Geng

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.


2010 ◽  
Vol 44-47 ◽  
pp. 1056-1060
Author(s):  
Pei Lin Shi ◽  
Guan Lin Xu ◽  
Shao Feng Tang ◽  
Jun Jie Tang

There are many uncertain factors because of the nonlinearity of system and the road surface interference in the electric power steering system (EPS), and a PID controller is only used suitably when the system is a linear system and the system parameters are certain. A sliding mode variable structure controller which is based on the exponential approach law is proposed for EPS for the nonlinear system and the road surface disturbance. Simulation shows that the proposed controller has the steady performance and the dynamic performance, and its sliding mode is absolutely self-adaptive, so the sliding mode controller can be used to robust control for electric power steering system.


Sign in / Sign up

Export Citation Format

Share Document