The Optimization of Controller Allocation by using Genetic Algorithms for Fuzzy Control of Distributed Parameter System

• Qi Tian

  Keio University

• Hiramatsu Tomoyasu

  Kanto Gakuin University

• Miyazaki Michio

  Kanto Gakuin University

Bibliographic Information

Other Title

• Optimization of Controller Allocation b

Abstract

The control of the Distributed Parameter System(DPS) has some problems like as that 1)the construction of the mathematical model of the DPS is difficult and 2) the allocation of control equipments must be optimized. For the former problem, we applied the fuzzy technique to the control of the DPS because it has dominance of that one can construct the control system with the experience rules but without the mathematical model. For the latter problem, the genetic algorithm(GA) was used because one can optimize the controller allocation with low calculation time by using it. Simulation experiments were performed for the temperature control problem on a finite length stick. As the result, effectiveness of the proposed method was confirmed.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 117 (7), 979-984, 1997

  The Institute of Electrical Engineers of Japan

Keywords

• Distributed Parameter System
• Fuzzy Control Technique
• Genetic Algorithms(GA)

Details

• CRID: 1390282679584811008
• NII Article ID: 130006843862
• NII Article ID: 10009533522
• NII Article ID: 10002810910
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss1987.117.7_979
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 4248139
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4248139
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss1987/117/7/117_7_979/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed