Multi-Objective Optimization Design of Fractional Slot Concentrated Winding Permanent Magnet Synchronous Machines

Abstract

Fractional-slot concentrated-winding (FSCW) permanent magnet synchronous machines (PMSMs) have several advantages when compared to other conventional topologies. Design of these motors often rely on the designer's experience, or numerical methods which are time inefficient. This makes them unsuitable for multi-objective optimization design procedure in which a huge design space is adopted, and which have been shown to be effective in finding optimum machine designs. This work introduces a generic multi-objective optimization design framework for a surface mounted (SM) FSCW-PMSM based on a general analytical model that considers various machine aspects such as its geometry, winding configuration, losses, iron temporal flux density levels and drive control. The design procedure is demonstrated to design a surface-mounted (SM) FSCW-PMSM motor with a wide constant power speed range of 5:1. Validation is carried out using Finite Element Analysis (FEA) with good agreement in results. INDEX TERMS Fractional-slot, permanent magnet synchronous machines, concentrated winding, multiobjective optimization design, motor optimization design, FSCW-PMSM.

Design and optimization of permanent magnet synchronous generator dedicated to direct-drive, high power wind turbine

“…The bounds on the variables allow to delimit the space of solutions in a realistic area where solutions are feasible (Djebarri, 2015; Edhah et al, 2019). Nine design variables are selected with reasonable to range as listed in Table 8.…”

“…Edhah et al (2019) and Touimi et al (2020) used the genetic algorithm in order to minimize the cost of the generator conserving the maximum of efficiency with different generator topologies.…”

“…In another study (Rastogi et al, 2016), the authors applied a constrained differential evolution algorithm with gradient based mutation optimization technique in order to minimize the weight and the losses in the machine. Edhah et al (2019) and Touimi et al (2020) used the genetic algorithm in order to minimize the cost of the generator conserving the maximum of efficiency with different generator topologies. In this paper, a 1.5 MW PMSG was presented, thus with a large number of poles and large diameter, to associate with a wind turbine by direct drive.…”

Design, Prototyping and Testing of a Rotating Electrical Machine With Linear Geometry for Shipboard Applications

“…As better specified in the next Section, the windings are designed so that, when fed with a symmetrical three-phase current system, they produce travelling fields that move in opposite directions on the upper and lower active regions of the machine, as required to maximize the net magnetic force acting on the track and transformed into torque (Figure 2b). The use of a fractional-slot concentrated winding (FSCW) [13] instead of a conventional distributed topology [14] is particularly beneficial thanks to its very short winding overhangs to limit the machine dimension called W in Figure 15-b. The two stator laminated cores are fixed on a non-magnetic stainless-steel support (Figure 18) which has a basically structural function as it serves to firmly connect the stator to the side shields (G in Figure 15) on whose edges the outer rotor elements slide.…”

Optimization of double stator PMSM with different slot number in inner and outer stators using genetic algorithm

“…For the fractional slot motor with concentrated windings i.e. Nspp < 1 is usually equipped with coils that span one stator tooth pitch [9]. Additionally, there are numerous PMSM topologies that differ in rotor structures and stator winding arrangements.…”