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    Comparison between two target functions for optimization of single phase shaded-pole motor using method of genetic algorithms
    (Elsevier BV, 2005-04)
    Sarac, Vasilija
    ;
    Petkovska, Lidija
    ;
    Cundev, Milan
    ;
    Cvetkovski, Goga
    Method of genetic algorithms (GAs) has been started to be widely used, as an optimization technique of electrical machines, in the recent years. In this paper the GA method will be applied on the shaded-pole motor, aiming towards an improvement of its operational and performance characteristics. The authors develop two new improved motor models, starting from the basic one. In the first motor model the electromagnetic torque, as a target function for optimization is suggested, while in the second one the optimization is based on the efficiency factor, used as a target function. The results gained from the both motor models are analyzed and compared to the basic model. The conclusions regarding the more favorable target function for optimization of a single phase shaded-pole motor are presented.
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    Performance characteristics improvement of a PM disk motor by using soft magnetic composite material
    (IOS Press, 2002-12-17)
    Cvetkovski, Goga
    ;
    Petkovska, Lidija
    ;
    Cundev, Milan
    ;
    Gair, Sinclair
    The paper presents a comparison of the magnetic field and magnetic characteristics of a PM disk motor with laminated magnetic stator open slot core, laminated magnetic stator closed slot core with soft magnetic composite and soft magnetic composite stator core. The data for this analysis is provided by a 2D FEM calculation of the magnetic field. After the proper modelling of the motor a calculation of the magnetic field for no load and current load is performed, for the three models. The results of the magnetic field distribution, air gap flux density distribution and the values of the magnetic and electric parameters for the three models are also presented.