Department of Information and Library Science, Tamkang University Full-Time Faculty

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Seminar TitleReal-coded genetic algorithm based fuzzy sliding-mode controldesign for precision positioning

Year86

Semester2

Published date1998-05-01

Seminar NameReal-coded genetic algorithm based fuzzy sliding-mode controldesign for precision positioning

Seminar Name Other

All AuthorHuang, Pai-yi; Lin, Sinn-cheng; Chen, Yung-yaw

The Unit Of The Conference淡江大學資訊與圖書館學系

PublisherInstitute of Electrical and Electronics Engineers (IEEE)

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SummaryA fuzzy sliding-mode controller was optimized through real-coded genetic algorithms and successfully implemented on an industrial XY table. The fuzzy sliding-mode controller is special type of fuzzy controller. By using the sliding surface, the fuzzy rule is simpler and the entire rule base is more compact. Thus, more easy to apply self-learning schemes. The real-coded genetic algorithm uses the internal floating-point representation of the computer system. With this advantage, the finite resolution problem of traditional genetic algorithm has been solved. The experimental results show the success of this approach.

Keywordfuzzy control; genetic algorithms; position control; self-adjusting systems; variable structure systems

Use LangEnglish

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ProvenanceIEEE World Congress on Computational Intelligence 2, pp.1247-1252

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