Suspension System Control Based on Type-2 Fuzzy Sliding Mode Technique

Zheng Wang, Longyi Ran, Bing Kong, Xuezeng Jia, Liya Liu, Jafar Tavoosi and Xiaoping Liu

Complexity, 2022, vol. 2022, 1-10

Abstract: This paper presents a new method of intelligent control for vehicle suspension. First, the suspension system is modeled with all the details, and then based on the obtained model, the sliding mode control is designed for it. The controller parameters and coefficients are calculated and updated by a type-2 fuzzy system. The chattering phenomenon is eliminated with a unique technique. In order to evaluate the performance of the proposed control system, two-model uncertainty of the road is applied. Simulations have been performed for both active and passive modes. The simulation results show the high efficiency of the proposed control system.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/complexity/2022/2685573.pdf (application/pdf)
http://downloads.hindawi.com/journals/complexity/2022/2685573.xml (application/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:2685573

DOI: 10.1155/2022/2685573

Access Statistics for this article

More articles in Complexity from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().