Implementation of Neural Network in Energy Saving of Induction Motor Drives with Indirect Vector Control
نویسندگان
چکیده
Induction motors are extensively used in industrial and household appliances consume about 54% of the total consumed electrical energy. The need for energy conservation is increasing the requirements for saving the electrical energy. It is therefore important to optimize the efficiency of motor drive systems if significant energy savings are to be obtained. This paper proposes a new control scheme based on artificial neural networks taking advantage of Nola theory which states that at a certain torque and speed operating point there exist only one set of voltage amplitude and frequency that operates the machine at optimum efficiency
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تاریخ انتشار 2008