Modeling Permanent Magnet Synchronous Motor System in Electrical Automation Engineering Based on Adaptive Neuro-Fuzzy Inference System
2013 ◽
Vol 676
◽
pp. 297-301
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Keyword(s):
This paper proposes a novel modeling method for permanent magnet synchronous motor (PMSM) system in electrical automation engineering based on adaptive network based fuzzy inference system (ANFIS). Meanwhile the microhabitat particle swarm optimization (MPSO) was used for training the parameters of ANFIS. The proposed modeling method for PMSM system can help in speed and position control. The proposed ANFIS and MPSO based modeling method has been successfully applied to PMSM control system.
2014 ◽
Vol 7
(12)
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pp. 425-436
Keyword(s):
2017 ◽
Vol 33
(5)
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pp. 3137-3143
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2010 ◽
Vol 14
(6)
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pp. 941-951
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2020 ◽
Vol 5
(5)
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pp. 526-535
Keyword(s):
2020 ◽
Vol XLII-3/W10
◽
pp. 1207-1213
2010 ◽
Vol 34
(6)
◽
pp. 1574-1585
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2016 ◽
Vol 9
(6)
◽
pp. 397