TY - BOOK ID - 135938926 TI - Performance of Induction Machines PY - 2022 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - LIM KW - slip frequency KW - linear induction motor KW - automatic train operation KW - rotor field-oriented angle error KW - indirect rotor field-oriented control KW - induction machine drives KW - model-based prediction KW - linear induction motors KW - finite element analysis KW - end effect KW - induction machines KW - electrical machines KW - thermal modeling KW - soft magnetic material KW - thermal conductivity KW - induction motor KW - solid rotor KW - effective parameters KW - finite element method KW - modelling of ring induction motors KW - Monte Carlo method KW - accurate modelling KW - induction machine KW - electromagnetic models KW - model selection KW - optimization KW - artificial neural networks KW - pattern search KW - evolutionary strategy KW - simulated annealing KW - artificial neural network KW - fourth central moment KW - homogeneity analysis KW - induction motors KW - mechanical unbalance KW - one broken rotor bar KW - outer-race bearing fault KW - startup transient current KW - two broken rotor bars KW - three-phase induction motor KW - squirrel-cage rotor KW - energy efficiency KW - motor performance KW - n/a KW - dynamic model KW - Matlab/Simulink KW - rotor winding KW - stator winding UR - https://www.unicat.be/uniCat?func=search&query=sysid:135938926 AB - Induction machines are one of the most important technical applications for both the industrial world and private use. Since their invention (achievements of Galileo Ferraris, Nikola Tesla, and Michal Doliwo-Dobrowolski), they have been widely used in different electrical drives and as generators, thanks to their features such as reliability, durability, low price, high efficiency, and resistance to failure. The methods for designing and using induction machines are similar to the methods used in other electric machines but have their own specificity. Many issues discussed here are based on the fundamental achievements of authors such as Nasar, Boldea, Yamamura, Tegopoulos, and Kriezis, who laid the foundations for the development of induction machines, which are still relevant today. The control algorithms are based on the achievements of Blaschke (field vector-oriented control) and Depenbrock or Takahashi (direct torque control), who created standards for the control of induction machines. Today’s induction machines must meet very stringent requirements of reliability, high efficiency, and performance. Thanks to the application of highly efficient numerical algorithms, it is possible to design induction machines faster and at a lower cost. At the same time, progress in materials science and technology enables the development of new machine topologies. The main objective of this book is to contribute to the development of induction machines in all areas of their applications. ER -