• Electrical & Electronic Materials
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• v.22 no.4
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• pp.16-26
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• 2009

• Proceedings of the KIEE Conference
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• 1999.07f
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• pp.2742-2744
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• 1999

In this paper, an auto-tuning method for fuzzy logic controller based on the genetic algorithm is presented. In the proposed method, normalization parameters and membership function parameters of fuzzy controller are translated into binary bit-strings, which are processed by the genetic algorithm in order to be optimized for the well-chosen objective function (i.e. fitness function). To examine the validity of the proposed method. a genetic algorithm based fuzzy controller for an indirect vector control of induction motors is simulated and experiment is carried out. The simulation and experimental results show a significant enhancement in shortening development time and improving system performance over a traditional manually tuned fuzzy logic controller.

• Journal of Applied Biological Chemistry
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• v.51 no.2
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• pp.69-72
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• 2008

• Bulletin of the Korean Chemical Society
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• v.35 no.12
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• pp.3661-3664
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• 2014

• Proceedings of the Korean Society of Crop Science Conference
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• 2018.04a
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• pp.186-186
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• 2018

• Proceedings of the Korean Society of Veterinary Clinics Conference
• /
• 2006.11a
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• pp.114-114
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• 2006

• Journal of The Korean Radiological Technologist Association
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• v.25 no.1
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• pp.201-209
• /
• 1999

• Proceedings of the KACD Conference
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• 2007.05a
• /
• pp.278-279
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• 2007

• Proceedings of the KACD Conference
• /
• 2007.05a
• /
• pp.289-289
• /
• 2007

• Proceedings of the KACD Conference
• /
• 2007.05a
• /
• pp.293-293
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• 2007