Unmanned ground vehicle navigation using brain emotional learning based intelligent controller (BELBIC)

Alvaro Vargas-Clara, Sangram Redkar

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In this paper, we implement a novel control strategy for navigation of an Unmanned Ground Vehicle (UGV). This strategy consisted in the development and implementation of the Brain Emotional Learning Based Intelligent Controller (BELBIC) for heading, and path control of a UGV. BELBIC is an intelligent controller based on the model of the Amygdala-Orbitofrontal system of mammalians, which is a region in the brain known to be responsible for emotional learning process. Simulation of this controller for the cases of heading, and path control showed to be very robust and adaptable to dynamical changes in the plant. A comparison between BELBIC and a traditional PID control is presented to illustrate the performance of this control strategy.

Original languageEnglish (US)
Pages (from-to)10-15
Number of pages6
JournalSmart Science
Volume3
Issue number1
DOIs
StatePublished - Jan 1 2015

Fingerprint

Unmanned Ground Vehicle
Unmanned vehicles
Ground vehicles
Navigation
Brain
Controller
Controllers
Control Strategy
Path
PID Control
Three term control systems
Learning Process
Emotion
Learning
Simulation

Keywords

  • BELBIC
  • Intelligent controller
  • Unmanned ground vehicle

ASJC Scopus subject areas

  • Chemistry (miscellaneous)
  • Modeling and Simulation
  • Energy (miscellaneous)
  • Engineering(all)
  • Fluid Flow and Transfer Processes
  • Computer Networks and Communications
  • Computational Mathematics

Cite this

Unmanned ground vehicle navigation using brain emotional learning based intelligent controller (BELBIC). / Vargas-Clara, Alvaro; Redkar, Sangram.

In: Smart Science, Vol. 3, No. 1, 01.01.2015, p. 10-15.

Research output: Contribution to journalArticle

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