Fuzzy Adaptive Control for Nonlinear Suspension Systems Based on a Bioinspired Reference Model With Deliberately Designed Nonlinear Damping

Jingying Li, Xingjian Jing, Zhengchao Li, Xianlin Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)

Abstract

This paper proposes a bioinspired reference model based fuzzy adaptive tracking control for active suspension systems. A general bioinspired nonlinear structure, which can present ideal nonlinear quasi-zero stiffness for vibration isolation, is adopted as tracking reference model. Fuzzy logic systems are used to approximate unknown nonlinear terms in nonlinear suspension systems. Particularly, a nonlinear damping is designed to improve damping characteristics of the bioinspired reference model. With beneficial nonlinear stiffness and improved nonlinear damping of the bioinspired reference model, the proposed fuzzy adaptive controller can effectively suppress vibration of suspension systems with less actuator force and much improved ride comfort, thus energy saving performance can be achieved. Finally, a quarter-vehicle active suspension system with considering payload uncertainties, general disturbance, and actuator saturation is provided for evaluating the validity and superiority of the bioinspired nonlinear dynamics based fuzzy adaptive control approach proposed in this paper.

Original languageEnglish
Article number8566169
Pages (from-to)8713-8723
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume66
Issue number11
DOIs
Publication statusPublished - 1 Nov 2019

Keywords

  • Active suspension control systems
  • bioinspired nonlinear dynamics
  • energy efficiency
  • fuzzy adaptive control
  • nonlinear damping design

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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