A steering control of automatic guided vehicles by successive learning neural network

Shigeyuki Funabiki, Michio Mino

Research output: Contribution to journalArticle

Abstract

In this paper, a steering control of automatic guided vehicles (AGVs) by a successive learning neural network is proposed. In the proposed control strategy, the learning procedure of the neural network is carried out in some trials. Then, the excellent steering control strategy can be established and the exellent results of the AGV travelling are obtained. At the first step, the teaching signal based on the PI control is proposed. The experiment in the steering control of the right and left turning is put into practice. Then, it is clarified that the excellent learning and the steering control of AGVs is realized by adjusting the coefficients in the teaching signal according to the degree of learning. The proposed strategy using the successive learning neural network is proved to be of much practical use for the steering control of AGVs.

Original languageEnglish
Pages (from-to)142-147
Number of pages6
JournalIEEJ Transactions on Industry Applications
Volume115
Issue number2
DOIs
Publication statusPublished - 1995

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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