Evolutionary fuzzy logic system for intelligent fibre optic components assembly

Duc Pham*, Marco Castellani

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

This paper presents a new evolutionary fuzzy logic system for use in the assembly of optical fibre components. The system optimizes the light output from a fibre by applying a gradient-based algorithm enhanced with momentum information. The parameters of the algorithm are adjusted on-line by a fuzzy controller according to the progress of the alignment process. The control knowledge base is automatically generated via a new evolutionary algorithm. The algorithm divides the population into three subgroups, each concerned with a different level of knowledge-base optimization, and employs a new adaptive selection routine that aims to keep the selection pressure constant throughout the learning phase. The resulting fuzzy logic controller demonstrated a robust performance with alignment times and accuracies comparing favourably against those obtained using a manually designed controller. Moreover, the evolved knowledge base was expressed in a transparent format that facilitated the understanding of the control policy.

Original languageEnglish
Pages (from-to)571-581
Number of pages11
JournalInstitution of Mechanical Engineers. Proceedings. Part C: Journal of Mechanical Engineering Science
Volume216
Issue number5
DOIs
Publication statusPublished - 2002

Keywords

  • Automatic assembly
  • Evolutionary algorithms
  • Fibre optics
  • Fuzzy logic

ASJC Scopus subject areas

  • Mechanical Engineering

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