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Rotor Resistance Online Identification of Vector Controlled Induction Motor Based on Neural Network
2014
Mathematical Problems in Engineering
Rotor resistance identification has been well recognized as one of the most critical factors affecting the theoretical study and applications of AC motor's control for high performance variable frequency speed adjustment. This paper proposes a novel model for rotor resistance parameters identification based on Elman neural networks. Elman recurrent neural network is capable of performing nonlinear function approximation and possesses the ability of time-variable characteristic adaptation. Those
doi:10.1155/2014/831839
fatcat:tdxcmalvqjdidct35iidknspqm