Electric machines are optimized to the extent of their magnetic configuration and manufacturability. Thanks to recent advances in development of composite material (SMC), 3-D printing, and programmable magnets, manufacturing capabilities have changed dramatically. Introducing of cloud computing and impressive computational resources has opened new opportunities in virtual prototyping in a multi-physics environment. These enabling technologies present a potential for a transformative approach in optimal design, evaluation, and manufacturing of the next generation of electric machines and adjustable speed drives. This paper proposes a new design approach applied to optimal design of synchronous reluctance machines. The proposed technique removes all the conventional constraints posed by traditional designs of classic magnetic configurations and only keeps a minimum airgap length and shaft diameter as the boundary conditions. The fabric of the rotor is based on a mesh whose elements can be air or SMC. A genetic algorithm is used for optimal placement of rotor configuration.
[1]
Lin Li,et al.
Calculation of Electromagnetic Fields in the Vicinity of the Lightning Channel
,
2015,
IEEE Transactions on Magnetics.
[2]
Freddy Magnussen,et al.
A FEM1 investigation on the Synchronous Reluctance Machine rotor geometry with just one flux barrier as a guide toward the optimal barrier's shape
,
2009,
IEEE EUROCON 2009.
[3]
Ingo Hahn,et al.
Kriging-Assisted Multi-Objective Particle Swarm Optimization of permanent magnet synchronous machine for hybrid and electric cars
,
2013,
2013 International Electric Machines & Drives Conference.
[4]
Alfredo Vagati,et al.
Design criteria of high performance synchronous reluctance motors
,
1992,
Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting.