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ABSTRACT: The direct torque control (DTC) technique has been widely used as a control strategy for motor drive system. High torque ripple is a major problem when the motor is running at low speed in DTC system. By analyzing the causes of torque ripple, it is can be found that the change of the speed error signal is a good indicator to determine the situation of motor torque ripple. In this paper, a DTC strategy with a fuzzy logic controller has been proposed. The inputs of the fuzzy controller are the speed error signal and the change rate of current signal. The output is incremental value of the torque hysteresis amplitude. Dynamic adjustment of the torque hysteresis amplitude is the ultimate goal. The simulation results show that the DTC system with hysteresis amplitude adjustment fuzzy logic controller can reduce the pulsation of the motor torque and flux, and improve the performance of low-speed operating conditions.
Advanced Computer Control (ICACC), 2010 2nd International Conference on; 04/2010
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[show abstract]
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ABSTRACT: The direct torque control (DTC) technique has been widely used as a control strategy for motor drive system. High torque ripple is a major problem when the motor is running at low speed in DTC system. By analyzing the causes of torque ripple, it is can be found that the change of the speed error signal is a good indicator to determine the situation of motor torque ripple. In this paper, a DTC strategy with a fuzzy logic controller has been proposed. The inputs of the fuzzy controller are the speed error signal and the change rate of current signal. The output is incremental value of the torque hysteresis amplitude. Dynamic adjustment of the torque hysteresis amplitude is the ultimate goal. The simulation results show that the DTC system with hysteresis amplitude adjustment fuzzy logic controller can reduce the pulsation of the motor torque and flux, and improve the performance of low-speed operating conditions.
Innovative Computing and Communication and Asia-Pacific Conference on Information Technology and Ocean Engineering, International Conference on. 01/2010;
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ABSTRACT: The performance of the vector control depends on the precise measurements of parameters in motor. The rotor resistance is one of the most important parameters. And its variation is very significant because of the temperature rise and skin effect during the implementation of control. A rotor resistance estimation method based on artificial neural network (ANN) is proposed in this paper combining with the voltage model rotor flux and the current model rotor flux. The method can get the suitable rotor resistance value by the provided observer. Simulation results are given to verify that the proposed algorithm is useful to identify the rotor resistance accurately and rapidly so as to enhance its Robustness.
Intelligent Networks and Intelligent Systems, International Workshop on. 10/2009;