Hybrid fuzzy skyhook surface control using multi-objective micro-genetic algorithm for semi-active vehicle suspension system ride comfort stability analysis

Yi Chen, Zhong-Lai Wang, Jing Qui, Hong-Zhong Huang

Research output: Contribution to journalArticle

Abstract

A polynomial function supervising fuzzy sliding mode control (PSFaSMC), which embedded with skyhook surface method, is proposed for the ride comfort of a vehicle semi-active suspension. The multi-objective microgenetic algorithm (MOµGA) has been utilized to determine the PSFaSMC controller’s parameter alignment in a training process with three ride comfort objectives for the vehicle semi-active suspension, which is called the “offline” step.
Original languageEnglish
Pages (from-to)041003
Number of pages14
JournalJournal of Dynamic Systems, Measurement, and Control
Volume134
Issue number4
DOIs
Publication statusPublished - May 2012

Keywords

  • dynamic analysis
  • suspension systems
  • micro genetic algorithm

Fingerprint Dive into the research topics of 'Hybrid fuzzy skyhook surface control using multi-objective micro-genetic algorithm for semi-active vehicle suspension system ride comfort stability analysis'. Together they form a unique fingerprint.

Cite this