5 results listed
Among the electrical machines the shaded pole
motors are the most difficult ones in terms of modeling and
analysis. This difficulty is arising from the non-uniform airgap and
unbalanced windings on its stator. Because ofthese the airgap flux
contains rich space harmonics, and this complicates the
mathematical modeling and simulation of these machines. On the
other hand, small size of these machines results in strong end
effects. Hence the 3-D modeling of magnetic field analysis poses an
important advantage. Therefore, in this presentation a 15 W, 4
pole shaded pole motor has been modelled in 3-D using Finite
Elements (FE) method to determine some important performance
parameters such as the airgap flux distribution and the saturation
effects in the motor laminations. In this process magnetic field
distribution have been obtained for three different case which are:
a) Main winding is excited but shading rings and rotor cage are
not excited
b) Shading rings are excited, but stator winding and rotor cage
are not excited
c) Both the stator winding and shading rings are excited, but
rotor cage is not excited
Finally, advantages accrued from such an analysis is discussedin
detail.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Adem Dalcalı
Mehmet Akbaba
A system is a set of interacting components are
connectedin such a way that the vibration or response in the state
of one component affects the state of others. A dynamic system is
described by time differential equations; therefore, the future
response of the system is determined by the present state of the
system (the initial conditions) and the present input. Modeling and
simulation are the prerequisite to the design of a dynamic system,
as the designing and manufacturing a system and then testing it
for expected performance would be unavoidably expensive. Wide
spread availability of high speed and high storage capacity
computers makes the simulation process even more attractive
before the manufacturing stage for observing the expected
performance of complex dynamic systems. However, before
simulation phase of a system the mathematical model of the system
must be prepared. For complex mechanical systems it is not always
easy to establish the mathematical model. On the other hand, it is
much easier to establish the mathematical model of an electrical
system. Furthermore, simulation software is richer for electrical
systems. For these reasons in this manuscript modeling of a
complex mechanical systems will be realized using electrical
circuit analog and then will be simulated as an electrical circuit.
Advantages of this approach will be explored.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Mehmet Akbaba
Adem Dalcalı
M. GÖKDAĞ
In this paper, a particle swarm optimization (PSO)
algorithm is introduced to determine learning parameters
required for the backpropagation (BP) learning algorithm, which
is used for training of a feed-forward neural network (FFNN).
PSO algorithm utilized within the paper works slightly different
compared to conventional PSO (CPSO) algorithm in such a way
that each particle adjusts its position based on the best midposition
of all particles and its group’s previous best. The major
reason of such a change is to enhance the performance of CPSO
algorithm, which is explained in detail in the study suggested by
Tamer, S and et.al. To test the proposed method, a FFNN with
three layers is designed for function interpolation. Learning
parameters of the designed NN are determined by both
conventional error and trial method and the proposed method.
Afterwards, using these two groups of learning parameters, the
NN is trained and tested under the same conditions. According to
the test results, learning parameters determined by the PSO
provide a better performance and interpolating capability for the
NN than those determined by the conventional method.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Emre Çelik
Nihat Ozturk
Adem Dalcalı
In the present study, a 5.5 kW, 22 pole direct drive surface mounted PM synchronous motor (PMSM) has
been designed, analyzed and optimized. After an initial design stage, a 3D model of the generator has been created for
the finite element analysis. Cogging torque, output power, efficiency and maximum output power parameters have been
analyzed for various material of PM magnets (Alnico, Ceramic, SmCo, NdFeB), which can be produced easily by rareearth
elements. In the performed analyzes, the best efficiency and the maximum output power value has been obtained
on the N50m type magnet material. Furthermore, the lowest cogging torque has been obtained with an Alnico5 type
magnet material.
International Rating Academy Congress : Applied Sciences
IRAC
Adem Dalcalı
Cemil OCAK
In recent years, due to their superior features, interior permanent magnet (IPM) motors are often preferred in
traction applications such as electric vehicles. The rotor geometry of an IPM motor significantly affects motor
performance. To improve the electromagnetic performance of the IPM motor such as maximum torque per ampere
(MTPA), efficiency, and the torque pulsations, rotor and its flux barriers geometry have to be optimized due to the
difficult modeling dominated by magnetic saturation. Thus, this study is focused on the optimization of flux barriers by
varying the rotor geometric parameters which have significant influences. Performance and the electromagnetic
parameters of the motor are verified by using 3D-Finite Element Method. The proposed motor has the following
parameters; 4-pole, 48V, 500W and 3000rpm.
International Rating Academy Congress : Applied Sciences
IRAC
Cemil OCAK
Adem Dalcalı