Sliding Mode Variable Structure Control for Electric Power Steering System

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.

2013 ◽  
Vol 655-657 ◽  
pp. 1397-1402
Author(s):  
Chao Ying Liu ◽  
Wen Jiang Wu ◽  
Zhan Zhong Wang ◽  
Zhan Feng Gao

Assistance control is an important control model of electric power steering system. When designing assistance control algorithm, we should not only consider the handiness and stability of steering, but also think of the assistance stability and disturbance resistance from the road surface. In order to improve the overall performance of electric power steering, robust control theory is applied to develop the assistance control algorithm. Based on the above, a robust controller was designed. The influences of the assistance torque deviation and the road surface disturbance on steering were selected as the controlled output. Then the designed controller was tested on electric power steering test bed. The test results show that the robust controller is of better assistant performance than traditional PID controller.


Author(s):  
Manel Allous ◽  
Kais Mrabet ◽  
Nadia Zanzouri

Electric power steering is an advanced steering system that uses an electric motor to improve steering comfort of the car. As a result, the failures in the electric motor can lead to additional fault modes and cause damage of the electric power steering system performance. Hence, to ensure the stability of this latter, the present paper proposes a new method to reconfigure the fault control. A novelty approach of fast fault estimation based on adaptive observer is also proposed. Moreover, to guarantee optimal and fast control, a fault-tolerant control based on inverse bond graph modeling is designed to construct the behavior of the nominal system. The simulation and the experimental results on a real electric power steering system reveal the importance of the control strategy and show that the proposed approach works as intended.


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