2017 IEEE International Electric Machines and Drives Conference (IEMDC) 2017
DOI: 10.1109/iemdc.2017.8002174
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Modeling and simulation of electrical machines within a CCM framework

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Cited by 8 publications
(8 citation statements)
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“…In summary, efforts considering not only order reduction techniques but also efficient model formulations, cf. Popp et al (2016bPopp et al ( , 2017b, as well as specialized numerical solvers, cf. Korolova et al (2017), are important factors for a truly efficient simulation of nonlinear large scale interconnected dynamical systems.…”
Section: Discussionmentioning
confidence: 99%
“…In summary, efforts considering not only order reduction techniques but also efficient model formulations, cf. Popp et al (2016bPopp et al ( , 2017b, as well as specialized numerical solvers, cf. Korolova et al (2017), are important factors for a truly efficient simulation of nonlinear large scale interconnected dynamical systems.…”
Section: Discussionmentioning
confidence: 99%
“…Mishin et al (2022) established the quantitative and qualitative dependencies of an induction machine analytically, which was carried out considering the classical theory of an idealised induction machine, where the main physical parameters and electromechanical energy conversion processes are represented in the form of equations of electrical equilibrium and drive motion. The presented generalised equation system in differential form in M. Popp et al (2017) makes it possible to calculate dynamic and static processes for symmetrical and asymmetrical modes under given machine parameters and excitation conditions. Physical processes and features of CIG design solutions, caused by the for the electrical equilibrium of the stator phases.…”
Section: Introductionmentioning
confidence: 99%
“…The known solution for calculation of T=f(s) of these machines [21], [22] requires knowledge of data of structural elements of IMs, and these values most often cannot be found, especially for old machines to be replaced and for new series there are no catalogs, and the developers have no desire to publish this intellectual property. Any other effect, for example, skin effect in deep-slot rotor, requires consideration of a complicated equivalent circuit, and there are different approaches to the degree of detailing of the circuit itself, as different approaches have been proposed: physical descriptions and approximation/optimization procedures [17], [21]- [26]. Excessive approximation increase in the number of branches in the rotor leads to very cumbersome transformations in the field of complex numbers, and the obtained formula becomes of great value.…”
Section: Introductionmentioning
confidence: 99%
“…At the same time, due to the frequent lack of necessary data, and accurate data-even more so, there is no confidence that the obtained solution can claim an engineering accuracy of 2% to 3%. Such situation leads to search of approximation solutions not within the limits of physical effects [21], [25], [26], but to use of numerical optimization procedures [27], "fitting" the curve ω=f(T) to motor data from a nameplate (shield) and from catalogs (rated, or nominal data, and critical and starting torque). At the same time, according to the information from the developer of the quite successful program [27], the convergence of the optimization procedure was not ensured for every sixth engine (out of 300 double-cage machines processed).…”
Section: Introductionmentioning
confidence: 99%
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