Vehicle speed control through fuzzy logic

Khizir Mahmud*, Lei Tao

*Corresponding author for this work

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

11 Citations (Scopus)

Abstract

Fuzzy logic can be used to construct a nonlinear controllers by heuristic information which can replace the human intelligence working in a chain to complete a process. So it is a smart option to use the fuzzy logic to construct a controller to control a vehicle. Different DC motors like the shunt motors are prominent and flexible for electric vehicles. To control the vehicle dynamics like acceleration, braking, gear and terrain need to control the motor speed in proper way. So this paper advocates a novel approach to design and analyze a controller using fuzzy logic to control the speed of the vehicle. Traditional control sometimes take long time to determine optimum control parameters. But the designed fuzzy logic controller has the self tuning algorithm which can adjust the control parameters to gain the optimum control characteristic automatically.

Original languageEnglish
Title of host publicationGHTCE 2013
Subtitle of host publication2013 IEEE Global High Tech Congress on Electronics
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages30-35
Number of pages6
ISBN (Electronic)9781479932092
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE Global High Tech Congress on Electronics, GHTCE 2013 - Shenzhen, China
Duration: 17 Nov 201319 Nov 2013

Other

Other2013 IEEE Global High Tech Congress on Electronics, GHTCE 2013
CountryChina
CityShenzhen
Period17/11/1319/11/13

Keywords

  • controller
  • fuzzy logic
  • PID
  • speed control
  • vehicle

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