This paper presents an optimal design of an axial flux mircoelectromechanical systems (AF-MEMS) micromotor with enhanced power density and efficiency. The micromotor is characterized with dual-rotor and external diameter only around 10 mm. The characteristics of the MEMS micromotor are presented and modeled for optimization design. With the simple but powerful population-based stochastic search technique for solving global optimization problems, the differential evolution (DE) algorithm is adopted for the optimization design of this special motor. Furthermore, according to the characteristics of the micromotor, such as nonlinear, small size and different convergences of optimal variables, a constraint matrix(CM) and a depth search (DS) are proposed to enhance the conventional DE. Such improved DE is beneficial for the search efficiency and accuracy according to calculation results whilst giving an optimal motor with high power density and high efficiency. Experiments and 3D finite element analysis (FEA) are employed to analyze the optimized micromotor and verify the feasibility of the proposed DE.
HanaP.-W., ChunY.-D., ChoiaJ.-H., SeoaU.-J., KooaD.-Y., LeebJ. and LeecW.-G., Multi optimization of high efficiency induction motor considering cost effect, International Journal of Applied Electromagnetics and Mechanics39(1-4) (2012), 733-737.
2.
ChunaY.-D., KooaD.-H. and ChobY.-H., Multiobjective optimization design of axial flux permanent magnet motor, International Journal of Applied Electromagnetics and Mechanics25(1-4) (2007), 613-619.
3.
MansouriaA., SmairibN. and TrabelsiaH., Multi-objective optimization of an in-wheel electric vehicle motor, International Journal of Applied Electromagnetics and Mechanics, vol. Preprint, no. Preprint, 2016, pp. 1-17.
4.
BarbosaL.Z., CoelhoL.D. and LebensztajnL., Particle Swarm Optimization and strength pareto to solve multiobjective optimization problems, International Journal of Applied Electromagnetics and Mechanics43(1,2) (2013), 137-149.
5.
CirioL., LucidiS., ParasilitiF. and VillaniM., A global optimization approach for the synchronous motors design by finite element analysis, International Journal of Applied Electromagnetics and Mechanics16(1,2) (2002), 13-27.
6.
DuanY. and IonelD.M., A review of recent developments in electrical machine design optimization methods with a permanent-magnet synchronous motor benchmark study, Industry Applications, IEEE Transactions49(3) (May-June 2013), 268-1275.
7.
UlerG.F. and MohammedO.A. and KohC.S., Design optimization of electrical machines using genetic algorithms, Magnetics, IEEE Transactions on31(3) (May 1995), 2008-2011.
8.
ReinboldV., VinotE. and GerbaudL., Global optimization of a parallel hybrid vehicle using optimal energy management, International Journal of Applied Electromagnetics and Mechanics43(1,2) (2013), 115-126.
9.
StornR. and PriceK., Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces, Global Optim11(4) (1997), 341-359.
10.
PanagantN. and BureeratS., Solving partial differential equations using a new differential evolution algorithm, Mathematical Problems in Engineering2014, Article ID 747490, (2014), 10 pages.
11.
PanagantN. and BureeratS., Solving partial differential equations using a new differential evolution algorithm, Mathematical Problems in Engineering2014, Article ID 747490, (2014), 10 pages.
12.
PedroJ.O., DangorM., DahunsiO.A. and AliM.M., Differential evolution-based PID control of nonlinear full-car electrohydraulic suspensions, Mathematical Problems in Engineering2013, Article ID 261582, (2013), 13 pages.
13.
KetabiA. and NavardiM.J., Optimization shape of variable capacitance micromotor using differential evolution algorithm, Mathematical Problems in Engineering2010, Article ID 909240, (2010), 15 pages.
14.
HuangC.-H., LiC.-L. and TuenL.-F., Application of dynamic differential evolution for inverse scattering of a two-dimensional dielectric cylinder in slab medium, International Journal of Applied Electromagnetics and Mechanics41(2) (2013), 181-192.
15.
ChengY.-T., ChiuC.-C., ChangS.-P. and HsuJ.-C., Comparison of particle swarm optimization and self-adaptive dynamic differential evolution for the imaging of a periodic conductor, International Journal of Applied Electromagnetics and Mechanics46(1) (2014), 69-79.
16.
SizovG., IonelD. and DemerdashN., Multi-objective optimization of PM ac machines using computationally efficient-FEA and differential evolution, in Proc. IEEE IEMDC (2011), 1528-1533.
17.
JeihoonB., RahimianM.M. and ToliyatH.A., Optimal design and comparison of stator winding configurations in permanent magnet assisted synchronous reluctance generator, in Proc. IEEE IEMDC (2009), 732-737.
18.
JeihoonB., RahimianM. and ToliyatH., Optimal design of PM assisted synchronous reluctance generators using lumped parameter model and differential evolution strategy, in Proc. IEEE ECCE (2009), 2453-2459.
19.
BeniakarM., TsampourisE., PatsiosC. and KladasA., Evolutionary optimization of Permanent Magnet machine design for traction applications, Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on, Chicago, IL, 2010, p. 1.
20.
DasS. and SuganthanP., Differential evolution: A survey of the state-of-the-art, IEEE Trans. Evol. Comput.15(1) (Feb. 2011), 4-31.
21.
WagnerB., KreutzerM. and BeneckeW., Permanent magnet micromotors on silicon substrates, J. Microelectromech. Syst2(1) (1993), 23-29.
22.
CrosF., KoserH., AllenM. and LangJ., Magnetic induction micromachine - Part II: Fabrication and testing, J. Microelectromech. Syst15(2) (2006), 427-439.
23.
Di BarbaP., SaviniA. and WiakS., Design optimization of an electrostatic micromotor with axial field, COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering14(4) (1995), 175-179.
24.
MerzaghiS., KoechliC. and PerriardY., Development of a Hybrid MEMS BLDC Micromotor, Industry Applications, IEEE Transactions on47(1) (Jan.-Feb. 2011), 3-11.
25.
Di BarbaP., FarinaM. and SaviniA., Progress in automated optimal design of small and micro electromechanical devices, Proceedings of ISEM'99, Pavia (Italy), 10-12 May 1999.
26.
Di BarbaP., FarinaM. and SaviniA., Vector shape optimization of an electrostatic micromotor using a genetic algorithm, Compel-Dun Laoghaire Then Bradford19(2) (2000), 576-581.
27.
DebK., Evolutionary Algorithm for Multi-Criterion Optimization in Engineering Design, Proceedings of EUROGEN99, Jyvaskyla (Finland), 31 May-4 June 1999, Wiley.
28.
SenturiaS.D., CAD challenges for microsensors, microactuators, and microsystems, Proceedings of the IEEE86(8) (1998), 1611-1626.
29.
MahmoudiA., KahourzadeS., RahimN.A. and HewW.P., Design, analysis, and prototyping of an axial-flux permanent magnet motor based on genetic algorithm and finite-element analysis, Magnetics, IEEE Transactions on49(4) (April 2013), 1479-1492.
