Online Stator and Rotor Resistance Estimation Scheme Using Artificial Neural Networks for Vector Controlled Speed Sensorless Induction Motor Drive
作者： Baburaj Karanayil , Muhammed Fazlur Rahman , Colin Grantham
关键词: Control theory 、 Vector control 、 Rotor (electric) 、 Artificial neural network 、 Wound rotor motor 、 Induction motor 、 Torque 、 Control engineering 、 Stator 、 Backpropagation 、 Engineering
摘要: This paper presents a new method of online estimation for the stator and rotor resistances induction motor speed sensorless indirect vector controlled drives, using artificial neural networks. The error between flux linkages based on network model voltage is back propagated to adjust weights resistance estimation. For estimation, measured current estimated network. synthesized from state equations. performance estimators torque responses drive, together with these estimators, are investigated help simulations variations in their nominal values. Both experimentally, proposed drive. Data tracking performances presented. With this approach, was made insensitive both simulation experiment. accuracy achieved without sensor clearly demonstrates reliable high-performance operation drive
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