Journal of Mechanical Science and Technology

, Volume 31, Issue 6, pp 2643–2650 | Cite as

Adaptive fuzzy sliding mode control for electric power steering system

  • Sheng Lu
  • Majun Lian
  • Mingjie Liu
  • Chongdu Cho
  • Changhao Piao
Article
First Online:
Received:
Revised:
Accepted:

Abstract

The Electric power steering (EPS) system, a typical non-linear system, is easy to be influenced by parameters perturbation and disturbance of the road. Traditional linear control method based on a simplified linear model such as PID control cannot reach good dynamic performance. To reduce the influence of parameters perturbation and disturbance of the road and enhance the robustness of the system, an Adaptive fuzzy sliding mode control (AFSMC) method is proposed in this paper. First, fuzzy sliding mode control is employed to enhance the dynamic performance of the system. Then, to improve the precision of the controller, genetic algorithm is used to optimize the control rules which are essential to fuzzy control. The experimental results on non-linear EPS model demonstrate that AFSMC is more stable than Sliding mode control (SMC) method and more efficient to the non-linear system than SFPID control method. They can also prove that AFSMC can provide a stable driving in the presence of parameters perturbation and disturbance of the road.

Keywords

Electric power steering Adaptive fuzzy sliding mode control Genetic algorithm Parameters perturbation Disturbance of the road 
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Copyright information

© The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Sheng Lu
    • 1
  • Majun Lian
    • 1
  • Mingjie Liu
    • 1
  • Chongdu Cho
    • 2
  • Changhao Piao
    • 1
  1. 1.Institution of Pattern Recognition and Application, College of AutomationChongqing University of Posts and TelecommunicationsChongqingChina
  2. 2.Department of Mechanical EngineeringInha UniversityIncheonKorea

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