• Proceedings of the Korean Vacuum Society Conference
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• 2003.02a
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• pp.189-189
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• 2003

• Proceedings of the PSK Conference
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• 2000.10a
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• pp.50-52
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• 2000

• Polymer Science and Technology
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• v.5 no.6
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• 1994

• Restorative Dentistry and Endodontics
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• v.3 no.1
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• pp.22-30
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• 1977

• Proceedings of the KIEE Conference
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• 2004.10a
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• pp.176-178
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• 2004

Precise control of interior permanent magnet synchronous motor(IPMSM) over wide speed range is an engineering challenge. This paper considers the design and implementation of novel technique of speed estimation and control for IPMSM using hybrid intelligent control. The hybrid combination of neural network and adaptive fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed control of IPMSM using adaptive neural network fuzzy(A-NNF) and estimation of speed using artificial neural network(ANN) controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed.

• East Asian mathematical journal
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• v.9 no.2
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• pp.251-260
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• 1993

• Bulletin of the Korean Chemical Society
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• pp.2769-2772
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• 2012

• Bulletin of the Korean Chemical Society
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• v.32 no.2
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• pp.709-712
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• 2011

• Proceedings of the Korean Vacuum Society Conference
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• 2003.08a
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• pp.186-186
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• 2003

• Proceedings of the Korean Magnestics Society Conference
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• 2005.12a
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• pp.214-214
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• 2005