Generation of adjustment strategy of fuzzy-neural force controllers using genetic algorithms with fuzzy evaluation

K. Kiguchi, Keigo Watanabe, K. Izumi, T. Fukuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an effective force control method in which a fuzzy-neuro force controller is automatically adjusted in accordance with the unknown dynamics of an environment using a neural network. The adjustment strategy of the fuzzy-neural force controller, according to the environment dynamics, is automatically generated by the neural network in off-line manner using genetic algorithms with fuzzy evaluation. The effectiveness of the proposed force controller is evaluated by computer simulation with a 3-DOF planar robot manipulator model.

Original languageEnglish
Title of host publication2000 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation 21st Century Technologies and Industrial Opportunities
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages620-625
Number of pages6
Volume1
ISBN (Electronic)0780364562, 9780780364561
DOIs
Publication statusPublished - 2000
Externally publishedYes
Event26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - Nagoya, Aichi, Japan
Duration: Oct 22 2000Oct 28 2000

Other

Other26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000
CountryJapan
CityNagoya, Aichi
Period10/22/0010/28/00

Fingerprint

genetic algorithms
controllers
Genetic algorithms
adjusting
Controllers
evaluation
Neural networks
Force control
Manipulators
robots
Robots
manipulators
computerized simulation
Computer simulation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Instrumentation

Cite this

Kiguchi, K., Watanabe, K., Izumi, K., & Fukuda, T. (2000). Generation of adjustment strategy of fuzzy-neural force controllers using genetic algorithms with fuzzy evaluation. In 2000 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation 21st Century Technologies and Industrial Opportunities (Vol. 1, pp. 620-625). [973221] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON.2000.973221

Generation of adjustment strategy of fuzzy-neural force controllers using genetic algorithms with fuzzy evaluation. / Kiguchi, K.; Watanabe, Keigo; Izumi, K.; Fukuda, T.

2000 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation 21st Century Technologies and Industrial Opportunities. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2000. p. 620-625 973221.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kiguchi, K, Watanabe, K, Izumi, K & Fukuda, T 2000, Generation of adjustment strategy of fuzzy-neural force controllers using genetic algorithms with fuzzy evaluation. in 2000 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation 21st Century Technologies and Industrial Opportunities. vol. 1, 973221, Institute of Electrical and Electronics Engineers Inc., pp. 620-625, 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000, Nagoya, Aichi, Japan, 10/22/00. https://doi.org/10.1109/IECON.2000.973221
Kiguchi K, Watanabe K, Izumi K, Fukuda T. Generation of adjustment strategy of fuzzy-neural force controllers using genetic algorithms with fuzzy evaluation. In 2000 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation 21st Century Technologies and Industrial Opportunities. Vol. 1. Institute of Electrical and Electronics Engineers Inc. 2000. p. 620-625. 973221 https://doi.org/10.1109/IECON.2000.973221
Kiguchi, K. ; Watanabe, Keigo ; Izumi, K. ; Fukuda, T. / Generation of adjustment strategy of fuzzy-neural force controllers using genetic algorithms with fuzzy evaluation. 2000 26th Annual Conference of the IEEE Industrial Electronics Society, IECON 2000 - 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation 21st Century Technologies and Industrial Opportunities. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2000. pp. 620-625
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