Fuzzy parameter tuning sliding mode control for longitudinal motion of underground mining electric vehicles based on a single wheel model

Wenjie Ye, Weixiang Shen, Jinchuan Zheng, Damon Honnery, Daya Dayawansa

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

4 Citations (Scopus)


This paper first presents a simplified single wheel model for underground mining electric vehicles with bounds of system uncertainties. Then, a fuzzy parameter tuning (FPT) technique is used to adjust the parameters in the sliding mode control (SMC) to improve system stability and robustness at an unexpected external disturbances and unbound system uncertainties. The comparison of the simulation results shows that the proposed control strategy has better performance than the SMCs without applying fuzzy tuning technique.

Original languageEnglish
Title of host publicationProceedings of the 2016 International Conference on Advanced Mechatronic Systems (ICAMechS 2016)
Subtitle of host publicationMelbourne, Australia, November 30 - December 3, 2016
EditorsXinkai Chen, Dongyun Wang
Place of PublicationPiscataway, NJ
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781509053469
ISBN (Print)9781509053476
Publication statusPublished - 10 Jan 2017
EventInternational Conference on Advanced Mechatronic Systems 2016 - Melbourne, Australia
Duration: 30 Nov 20163 Dec 2016


ConferenceInternational Conference on Advanced Mechatronic Systems 2016
Abbreviated titleICAMechS 2016
Internet address


  • bounded uncertainties
  • electric vehicle
  • fuzzy control
  • fuzzy parameter tuning
  • fuzzy systems
  • underground mining

Cite this