Fuzzy adaptive tracking control for nonlinear suspension systems based on a bio-inspired reference model

Jingying Li, Zhengchao Li, Xingjian Jing, Xianlin Huang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper deals with the bio-inspired reference model based fuzzy adaptive tracking control problems for active suspension systems. Particularly, a nonlinear damping is designed to improve nonlinear damping characteristics of the original bio-inspired reference model. With the beneficial nonlinear stiffness and improved nonlinear damping of the bio-inspired reference model, the proposed fuzzy adaptive controller can effectively suppress vibration of the suspension system with less actuator force, hence both improved ride comfort and energy efficiency are achieved. Finally, a quarter-vehicle active suspension system with considering payload uncertainties is provided for evaluating the validity and superiority of the bio-inspired model based fuzzy adaptive tracking control approach proposed in this paper.

Original languageEnglish
Title of host publicationProceedings of the 2018 13th World Congress on Intelligent Control and Automation, WCICA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages119-124
Number of pages6
ISBN (Electronic)9781538673454
DOIs
Publication statusPublished - 30 Jan 2019
Event13th World Congress on Intelligent Control and Automation, WCICA 2018 - Changsa, China
Duration: 4 Jul 20188 Jul 2018

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume2018-July

Conference

Conference13th World Congress on Intelligent Control and Automation, WCICA 2018
CountryChina
CityChangsa
Period4/07/188/07/18

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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