Energy Saving Scheme for Induction Motor Drives

The speculation of energy saving is an attention grabber when the savings and reduction in running cost are promising. This paper presents an efficient Neural Network (NN) based energy-saving scheme for three phase induction motors. The proposed scheme is based on the variable voltage control employing Space Vector Modulation (SVM). Voltage control is required to meet the variation in the input voltage and to regulate the output of the inverter. From the simulation studies, it is observed that, SVM gives better harmonic response and higher efficiency compared to other Pulse Width Modulation (PWM) techniques and it is used in the present work. The three phase induction motor is modeled based on the Krause’s theory. Error back propagation algorithm is used to train the neural network to estimate the required voltage at various load conditions. The NN based energy-saving scheme incorporating SVM technique has been developed and it elucidates that considerable energy can be saved with this scheme, when the three phase induction motors operate at no load or light load.