Introductory Chapter: Induction Motors (IMs) Efficiency Improvement Perspectives

Abstract

corresponding to each frequency can be done by the same voltage relation which is deduced in this study at the also deduced slip for each frequency value. Variable frequency operation (Constant V/f) presents speed control by both voltage and frequency variations and keeps the magnetic saturation and insulation not exceeding their specified design values. So, a view on the general -purpose voltage -frequency pattern could be utilized to easily control the induction motor by frequency variation taking into consideration the parameters' sensitivity to frequency variation, and the motor performance characteristics. However, the operation of optimum efficiency is achieved by driving the motor at a slip of maximum efficiency at each frequency value. Because this slip is a function of IM parameters, which are functions of frequency, it varies with the frequency changes under various load torque types [9][10][11].Various control methods could be utilized and optimized using artificial intelligence techniques. Induction motor control using Artificial Neural Networks. So, an adaptive model of an induction motor using deep learning techniques could be used to estimate its performance accurately based on online real-time measurements. Then, sensorless controllers could be implemented. Due to the benefits of (ANN), would be used too in sensorless speed estimation and thus speed sensorless controller. A speed sensorless controller is an attractive choice. This is because induction motor drives can be controlled without using mechanical speed sensors. The information involving the rotor speed can be obtained by calculation using the measured stator voltages, currents, frequency, and sometimes input power, which can identify the IM speed for all motor characteristics [12][13][14][15].Additionally, the induction motor needs a regular maintenance procedure to monitor its condition. However, the traditional methods have noticeable drawbacks, especially at high voltage which might weaken isolation provision causing challenging its utilization in industrial conditions. So, nondestructive testing is an excellent candidate for faults diagnosis in induction motors [16]. Finally, the editor himself has some research related to electric machines including induction motors, artificial intelligence, control, and optimization techniques that could be easily applied to the induction machines to improve their efficiency .