Improving the efficiency of induction motors, which are the most energy consuming electric machines in the world, saves much energy. When working close to their nominal operating point, induction motors are high-efficiency machines. However, at low load, efficiency is greatly reduced when magnetization flux is maintained at nominal value. Therefore, it is necessary to adjust the flux level according to the load in order to improve the efficiency. This paper proposes a new approach based on artificial neural network which states that at a certain torque and speed operating point, there exist only one set of voltage and frequency that operates the machine at optimum efficiency. The artificial neural network is used to predict the required voltage and frequency as the load torque and motor speed changes. The training patterns are generated from the real system
کلید واژگان :motor, Efficiency, V/f control, Flux level, ANN, Online control, Simulation
ارزش ریالی : 350000 ریال
با پرداخت الکترونیک