International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Self-Organizing Fuzzy Controller Using Command Fusion Method and Genetic Algorithm

  • Na, Young-Nam (Dept. of Infomation & Communications, Chosun College of Science & Technology) ;
  • Choi, Wan-Gyu (Dept. of Computer Science, Chosun University) ;
  • Lee, Sung-Joo (Dept. of Computer Science, Chosun University)
  • Published : 2002.12.01
Download PDF
⟨ Previous Next ⟩

Abstract

According to increase of the factory-automation(FA) in the field of production, the importance of the autonomous guided vehicle's(AGV) role has also increased. This paper is about an active and effective controller which can flexibly prepare for changeable circumstances. For this study, research about an behavior-based system evolving by itself is also being considered. In this Paper, we constructed an active and effective AGV fuzzy controller to be able to carry out self-organization. To construct it, we tuned suboptimally membership function using a genetic algorithm(GA) and improved the control efficiency by self-correction and the generation of control rules.

Keywords

References

  1. In-Yong Lee, Han-Ho Tack, 'Control of Flexible Joint Robot Using Direct Adaptive Neural Networks Controller', international journal of fuzzy logic and intelligent systems', pp.29-34, 2001
  2. Domg Hwa Kim, Jin ILL Park, 'Auto-Tuning of Reference Model Based P1D Controller Using Immune Algorithm', journal of fuzzy logic and intelligent systems', vo1.12 n.13 pp.245-254, 2002
  3. Byung-Jae Choi, 'Design of Single-input Direct Adaptive Fuzzy Logic Controller Based on Stable Error Dynamics', international journal of fuzzy logic and intelligent systems', pp.44-49, 2001
  4. B. McCane and T. Caelli, 'Multi-scale adaptive segmen-tation using edge and region based attributes', Proc. KES '97, University of South Australia, pp. 72-80, 1997
  5. Atsushi Konno, Masaru Uchiyama, 'Modeling of a flexible Manipulator Dynamics Based upon Molzer's Model, 'IROS '96, Japan, pp. 223-229, 1996
  6. K. Le, 'A proposed model of human consciousness system with applications if pattern recognition', Proc. KES '97, university of south Australia, pp. 159-167, 1997
  7. Karem Zita Haigh, Manuela M. veloso, 'Interleaving Planning and Robot Execution for Asynchronous user Requests', IROS '96, japan, pp. 148-155, 1996