Abstract
The performance of direct torque controlled (DTC) induction motor system is greatly affected by the change of the motor stator resistance especially when the motor runs at low speeds. A new architecture of multi-basis wavenet-based model is proposed and implemented for stator resistance identification. Such multi-basis model utilizes multi-set daughter wavelets. By means of enough training of samples, the descent gradient algorithm is used to fulfill both system structure and parameters initialization, and the stator resistance is then acquired online with the operation of the system. The simulation results were carried out using Matlab/Simulink library and compared with those obtained from classical stator resistance identification method based on PI control and from another recent wavenet-based method. The simulation results show that the proposed method can improve the system performance. Keywords: Wavenet, Multi-basis wavenet, Direct torque control, Stator resistance, Induction motor.
Highlights
The industrial application areas of the direct torque controlled (DTC) system have been increased recently due to several features such as quick torque response and robustness against the motor parameter variations [1]-[3]
Two Simulink models of DTC induction motor system with stator resistance identifiers are implemented based on the proposed multi-basis wavenet and the classical PI control
Two sets of daughter wavelet functions (P = 2) with seven neurons (K = 7) in each set are used to represent the hidden layer of a 2-basis wavenet stator resistance identifier
Summary
The industrial application areas of the DTC system have been increased recently due to several features such as quick torque response and robustness against the motor parameter variations [1]-[3]. Two Simulink models of DTC induction motor system with stator resistance identifiers are implemented based on the proposed multi-basis wavenet and the classical PI control.
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