2019
DOI: 10.1109/tia.2019.2924405
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IE5 Energy-Efficiency Class Synchronous Reluctance Motor With Fractional Slot Winding

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Cited by 30 publications
(22 citation statements)
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“…The motor mechanical power was the model input parameter. The current amplitude had to be determined so as to obtain the required mechanical power [12].…”
Section: Short Description Of the Fsg Design Chosen And Its Mathematimentioning
confidence: 99%
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“…The motor mechanical power was the model input parameter. The current amplitude had to be determined so as to obtain the required mechanical power [12].…”
Section: Short Description Of the Fsg Design Chosen And Its Mathematimentioning
confidence: 99%
“…Thus, the stator and rotor fields were calculated in their own reference frames. Boundaries P I and P II were joined by the periodic condition [12]. Assume that an FSG rotor tooth is over the middle of the stator tooth wound with the phase 'A', as shown in Figure 1.…”
Section: Short Description Of the Fsg Design Chosen And Its Mathematimentioning
confidence: 99%
“…Nelder-Mead method was used in design optimization of several electrical machines [7,19]. In Reference [19], rated motor efficiency much higher than IE5 efficiency class level (according to IEC 60034-30-2 "Rotating electrical machines-Part 30-2: Efficiency classes of variable speed AC motors (IE-code)") was obtained using Nelder-Mead method. In addition, other important characteristics of the motor included in the objective function such as torque ripple and efficiency at underload were improved.…”
Section: Optimization Fsg With Ferrite Magnets and Its Resultsmentioning
confidence: 99%
“…The Nelder-Mead method used for the optimization [11] is a gradient-free method of unconditional optimization of a function of several variables. The method is easily applicable to non-smooth and/or noisy functions [12]. This method is widely used for non-linear optimization and is well suited for problems in which the derivatives of functions may be unknown.…”
Section: Optimization Of the Frm Designmentioning
confidence: 99%
“…This method is widely used for non-linear optimization and is well suited for problems in which the derivatives of functions may be unknown. The Nelder-Mead method can be more effective than gradient-based methods, as well as some other gradient-free methods; in particular, the Powell method [12].…”
Section: Optimization Of the Frm Designmentioning
confidence: 99%