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This paper presents an on-line estimation for the stator resistances of the induction motor in the direct torque controlled drive, using artificial neural networks. The variation of stator resistance due to changes in temperature or frequency degrades the performance of such control strategy. In order to solve this issue, a backpropagation algorithm is used for training of the neural network. The...
With the development of electrical machines in specific working conditions, the significant increase of power energy losses take place while their thermal capability is constantly decreased. The thermal overheating and cycling degrades the integrity of the materials used for stator winding insulation, resulting in acceleration of thermal aging. A new approach for induction motor temperature monitoring...
Due to quick torque response and robustness against parameter variation, the direct torque control system has been widely utilized in the industrial production. To improve its dynamic performance, a novel approach using wavelet network for identifying stator resistance online is proposed. The wavelet transform can accurately detect and localize signal characteristic in time frequency domains, where...
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