An adaptive second-order sliding mode for IWM electric vehicle lateral stability control based on super twist sliding mode observer

This study proposes an adaptive second-order sliding mode controller (ASOSM) method under the super twist sideslip observer (SMO) to improve the lateral stability of the in-wheel-motor (IWM) electric vehicle. Inspired by existing research, the chattering phenomenon naturally exists in the first-order sliding mode (FOSM) controller. While the high-order sliding mode (SOSM) control needs to know the upper bound of the external perturbations and unmodelled dynamics. Therefore, this research proposes an adaptive method combined with SOSM to solve the aforementioned problems. With the assistance of adaptive law, the control gains can be derived without knowing any information of the uncertainties. Furthermore, the controller robustness is verified by changing tyre parameters and vehicle mass. The co-simulation results of Matlab and Carsim illustrate better control performance with the proposed controller compared with benchmark FOSM and SOSM. Significant improvements in vehicle lateral stability and control efforts are indicated simultaneously.

• Record URL:
  • https://doi.org/10.1504/IJVD.2021.122692
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14775360
• Supplemental Notes:
  • Copyright © 2021 Inderscience Enterprises Ltd.
• Authors:
  • Li, Jialin
  • Ao, Di
  • Lan, Lina
  • Liu, Jialin
  • Xiong, Rui
• Publication Date: 2021

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 146-169
• Serial:
  • International Journal of Vehicle Design
  • Volume: 87
  • Issue Number: 1-4
  • Publisher: Inderscience Enterprises Limited
  • ISSN: 1477-5360
  • Serial URL: http://www.inderscience.com/jhome.php?jcode=IJVD

Subject/Index Terms

• TRT Terms: Adaptive control; Electric vehicles; Sliding mode control; Stability (Mechanics); Vehicle dynamics
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01847293
• Record Type: Publication
• Files: TRIS
• Created Date: May 26 2022 9:06AM