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A mobile robot obstacle avoidance using fuzzy logic and model predictive control

  • Bayanjargal Baasandorj
  • , Aamir Reyaz
  • , Park Joung Ho
  • , Cha Wang Cheol
  • , Deok Jin Lee
  • , Kil To Chong
  • Jeonbuk National University
  • KESCO
  • Soongsil University

Research output: Contribution to conferenceConference paperpeer-review

Abstract

This paper presents a method of solving the problem of mobile robot Obstacle avoidance and path planning in an unknown dynamic environment. A linear model of the two-wheeled nonholonomic robot controlled using Model predictive control controller. For obstacle avoidance Fuzzy logic control is used. The ultrasonic sensors are used for positioning and identifying an obstacle. The proposed method is successfully tested in simulations. Obstacle avoiding technique is very useful in real life, this technique can also use as a vision belt of blind people by changing the IR sensor by a kinetic sensor,which is on type of microwave sensor whose sensing range is very high and the output of this sensor vary in according to the object position changes.

Original languageEnglish
Title of host publicationAchievements in Engineering Sciences
PublisherTrans Tech Publications
Pages922-927
Number of pages6
ISBN (Print)9783038350842
DOIs
StatePublished - 2014
Event3rd International Conference on Manufacturing Engineering and Process, ICMEP 2014 - Seoul, Korea, Republic of
Duration: 2014.04.102014.04.11

Publication series

NameApplied Mechanics and Materials
Volume548-549
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference3rd International Conference on Manufacturing Engineering and Process, ICMEP 2014
Country/TerritoryKorea, Republic of
CitySeoul
Period14.04.1014.04.11

Keywords

  • Fuzzy logic
  • Model predictive controller
  • Obstacle avoidance

Quacquarelli Symonds(QS) Subject Topics

  • Engineering & Technology

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