Automatic loop-shaping of QFT controllers using GAs and evolutionary computation

  • Authors:

  • Min-Soo Kim;Chan-Soo Chung

  • Affiliations:

  • Sejong-Lockheed Martin Aerospace Research Center, Sejong University, Seoul, Korea;Electrical Engineering Department, Soongsil University, Seoul, Korea

  • Venue:
  • AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
  • Year:
  • 2005

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Abstract

This paper presents a design method of the automatic loop-shaping which couples up manual loop-shaping method to genetic algorithms (GAs) in quantitative feedback theory (QFT). The loop-shaping is currently performed in computer aided design environments manually, and moreover, it is usually a trial and error procedure. To solve this problem, an automatic loop-shaping method based on GAs and evolutionary computation is developed and a benchmark example is used to examine the performance of the proposed automatic loop-shaping compared with that of the manual loop-shaping and similar other research.