Presents a method for the finite element (FE) analysis of saturation effects in a squirrel‐ cage electrical machine. The proposed mathematical model includes the FE equations of the electromagnetic field, the equations which define the connection of windings, and the mechanical equation. Applies an approach based on a simultaneous solution of these equations, paying special attention to the movement simulation. Applies the time‐stepping method with a fixed grid, independent of the rotar position. In the method the motional effects are simulated by trigonometric interpolation of the results for the previous time step.
PurposeThe purpose of this paper is to elaborate the algorithm and computer code for the structure optimization of the outer rotor permanent magnet brushless DC motor and to execute optimization of selected motor structure using the non‐deterministic procedure.Design/methodology/approachThe mathematical model of the device includes the electromagnetic field equations with the nonlinearity of the magnetic core taken into account. The numerical implementation is based on the finite element method and stepping procedure. The genetic algorithm has been applied for the optimization. The computer code has been elaborated.FindingsThe elaborated computer software has been applied for the optimization and design of BLDC motors. The elaborated algorithm has been tested and a good convergence has been attained.Originality/valueThe presented approach and computer software can be successfully applied to the design and optimization of different structure of BLDC motors.
Purpose -The purpose of this paper is to elaborate an algorithm and the software for the rotor structure optimization of the permanent magnet synchronous motor (PMSM) with a magnet composed of two materials made with the use of different technologies: sintered Neodymium magnets and powder dielectromagnets. To execute of optimization of selected motor structure using the non-deterministic procedure. Design/methodology/approach -The mathematical model of the devices includes: the equation of the electromagnetic field, the electric circuit equations and equation of mechanical motion. The numerical implementation is based on finite element method and step-by-step algorithm. The genetic algorithm has been applied in the optimization procedures. The computer code has been developed. Findings -The elaborated computer software has been applied for the optimization and design of PMSMs. The elaborated algorithm has been tested and a good convergence has been attained. The parameters of two optimal structures of PMSM motors have been compared. Originality/value -The presented approach and computer software can be successfully applied to the design and optimization of different structure of PMSM with different type of rotors.
IntroductionThe continuous development of materials engineering has made it possible to produce permanent magnets of high energy density, with better magnetic and thermal properties. Nowadays, manufacturers and users of electrical machines pay special attention to energy efficiency of the devices. Hence, in order to make permanent magnet motors more and more efficient there is an enormous interest in the development of their constructions. In comparison to other types of electrical machines, the permanent magnet synchronous motors (PMSMs) have many advantages: high efficiency, low operating costs, long operational life, large torque-to-mass ratio and good dynamics performance (Lindth et al., 2009). Diversity of motors applications and variety of permanent magnet types have an essential effect on the structures of this kind of machines. The PMSM rotor construction, i.e. location, size and shape of the permanent magnets has substantial effect on the machine properties (Barcaro and Bianchi, 2013). The magnets may be glued to the rotor surface (surface mounted magnet) or buried in the rotor (buried magnet) (Hahn, 2012;Faggion et al., 2013).Recent years have witnessed rapid development of magnetic powder technology. This concerns both: soft and hard magnetic material. The powder technology enables free formation of the element geometries and control over their magnetic properties -depending on the admixtures used. The design and construction of excitation systems consisting of two or more different materials is also possible (Nowak, 2013).
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