Permanent magnet synchronous motor parameter identification and current prediction control method based on RBF neural network

The invention discloses a permanent magnet synchronous motor parameter identification and current prediction control method based on an RBF neural network. According to the method, an RBF neural network online identifier is designed to estimate the parameters of the permanent magnet synchronous moto...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	HE JING, SHI ZHONGHUA, WU JIAYI, XIONG YI, ZHANG CHANGFAN, LIU MINGCHUN, ZHANG MIAOYING, TANG MENGJIAO, CHENG XIANG, WU HAIBO
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORSOR DYNAMO-ELECTRIC CONVERTERS CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ELECTRICITY GENERATION
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