Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1998.11b
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- Pages.645-647
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- 1998
Controller Design Using a Fuzzy Theory and Genetic Algorithm
퍼지이론과 유전알고리즘의 합성에 의한 제어기설계
- Oh, Jong-In (Dept.of Electrical & Control Eng., Hong Ik Univ.) ;
- Lee, Kee-Seong (Dept.of Electrical & Control Eng., Hong Ik Univ.)
- Published : 1998.11.28
Abstract
A position control algorithm for a inverted pendulum is studied. The proposed algorithm is based on a fuzzy theory and a steady state genetic algorithm(SSGA). The conventional fuzzy methods need expert's knowledges or human experiences. The SSGA, which is a optimization algorithm, tunes the input-output membership parameters and fuzzy rules automatically. The computer simulation to control a inverted pendulum is presented to illustrate the approaches.
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