ORIGINAL_ARTICLE
Optimizing speed and angle control of stepping motor by using field oriented control
In the present study, field oriented control of step motor implementation has been analyzed sothat it can make a Sensorless control. Efficiency and Facilities of step motor is more than othertypes of electromotor. Therefore, the numbers of mechanisms and different types of turning canbe made into them. Also controlling these motors is easier than other available motors. Steppingmotor has been designed with oriented control in MATLAB software by using a Simulink toolbox. In two methods above, current, torque and engine speed have been investigated by andwithout using Kalman filter. The results showed that using field oriented control can eradicateresonance abnormalities. By using field oriented control, the maximum theoretical engineperformance can be achieved.
http://jaiee.iau-ahar.ac.ir/article_516230_e25936b66810ec58c4f76d28b9a80ca7.pdf
2014-12-01T11:23:20
2018-01-22T11:23:20
1
10
step motor
Kalman filter
field oriented control
Ahad
Golipour
ahad.golipour@yahoo.com
true
1
AUTHOR
[1] Acarnley, P.P. (2002). “Stepping Motors: a
1
guide to theory and practice: Fourth
2
Edition”. Institution of Electrical Engineers,
3
[2] Simon D. and Feucht D. (2001). ”DSPBased
4
Field-Oriented Step Motor Control,”
5
SHARC International DSP Conference,
6
Boston, PP: 303-309.
7
[3] Simon D. and Feucht D. (2001). ”DSPBased
8
Field-Oriented Step Motor Control,”
9
SHARC International DSP Conference,
10
Boston, 303-309.
11
[4] Microchip Technology Inc., “Stepping
12
Motor Fundamentals,” Literature Number:
13
[5] Stengel R., “Optimal Control and
14
Estimation: First Edition,” Dover
15
Publication, Inc., New York.
16
[6] Bhavinkumar Shah (2004). FIELD
17
ORIENTED CONTROL OF STEP
18
MOTORS, Submitted in partial fulfillment
19
of requirements for the degree.
20
[7] Ohm D. and Oleksuk R. (1998). “On
21
practical Digital Current Regulator design
22
for PM Synchronous Motor drives,” IEEE
23
Applied Power Electronics Conference and
24
Exposition, Vol.1, PP: 56-63.
25
[8] Welch R.H., “Measuring Permanent
26
Magnet DC Motor Parameters- Part II:
27
Brushless DC Motors,” AIME, Reliance
28
Motion Control, Eden Prairie, Minnesota.
29
[9] Texas Instruments (1996). “Digital Signal
30
Processings Solutions for Motor Control
31
Using the TMS320F240 DSP-Controller,”
32
Literature number: SPRA 345.
33
[10] Obermeier C., Kellermann H., and
34
Brandenburg, G. (1997). “Sensorless field
35
oriented speed control of a hybrid and a
36
permanent magnet disk stepper motor using
37
an extended Kalman filter,” IEEE
38
International Electrical Machines and
39
Drives Conference Record, pp. MC3/5.1-
40
[11] Moussa Bendjedia, Youcef Ait-Amirat,
41
Member, IEEE, Bernard Walther, and Alain
42
Berthon, Member, IEEE. (2012). Position
43
Control of a Sensorless Stepper Motor, IEEE
44
TRANSACTIONS ON POWER
45
ELECTRONICS, VOL. 27, NO. 2.
46
[12] Bhavinkumar Shah (2007). Field oriented
47
control of step motors engineering in
48
electrical engineering, SVMIT,
49
CLEVELAND STATE UNIVERSITY,
50
Bharuch, India.
51
ORIGINAL_ARTICLE
Designing Fuzzy Controller for Air Conditioning Systems in order to Save Energy Consumption and Provide Optimal Conditions in Closed Environments (Indoors)
Today air conditioning systems have been considered by all people as one of welfarerequirements in buildings and closed environments. Since a considerable part of energy lossoccurs in ordinary modern systems, new strategies and solutions are developed in the field inorder to save amount of energy consumption and observe environmental considerations. Fuzzycontrol is one of these methods which provide a basic powerful rule for decisions made toguarantee optimal use of cooling and heating system. Hence in this research project datameasured by environment humidity and temperature were used as input variables and fan speedcontroller, humidifier, heaters, and compressors were used as output variables to regulate air flowrate and create humidity, cooling and heating conditions in the environment using fuzzy logic forsystem control.
http://jaiee.iau-ahar.ac.ir/article_516231_b4f54cabd0e6ee7814636a66eb69e114.pdf
2014-12-01T11:23:20
2018-01-22T11:23:20
11
18
fuzzy controller
heating systems
cooling systems
air conditioning system
Alireza
Soleimanzadeh
soleimanzadeha@yahoo.com
true
1
AUTHOR
[1] RezaTalebi–Daryani and Markus Olbring,
1
"Application of fuzzy control for energy
2
Management of a cascade heating Centre".
3
[2] Isizoh A. Nand and Okide S. O and
4
Anazia A.E. and Ogu C.D. , " Temperature
5
Control System Using Fuzzy Logic
6
Technique " (IJARAI) International Journal
7
of Advanced Research in Artificial
8
Intelligence, Vol. 1, No. 3, 2012
9
[3] Willam C.P, Fuzzy Logic and Real Time
10
Applications”, New Generation Publishers,
11
Ibadan, Nigeria, 2009.
12
[4] Zhou, L., Haghighat, F, “Optimization of
13
ventilation system design and operation in
14
office environment, Part I:
15
Methodology”.Building and Environment,
16
44(2), may, pp.651-656., 2009
17
[5] M.Sugeno, "Industrial Applications of fuzzy
18
control", Elserier, NewYork 1985
19
[6] Tobi, T., Hanafusa, “ A practical
20
application of fuzzy control for an air
21
conditioning system”. Int.J.Approx,
22
Reasoning,5(4), may, pp. 331-348., 1991
23
ORIGINAL_ARTICLE
The compression of MPPT methods in small sized wind power plants
In this paper the maximum power point tracking (MPPT) algorithms for wind energy systems arereviewed. As the amounts of power produced in wind power plants is changing due to theinstantaneous changing nature of the wind, it is desirable to determine the one optimal generatorspeed that ensures maximum energy yield. Thus, it is important to include a controller that cantrack the maximum peak regardless of wind speed. Categorizing the MPPT algorithms can bedone regarding whether it has used sensors or not, as well as according to the techniques used tolocate the peak value. The performance of different MPPT algorithms is compared on the basis ofability to achieve the maximum energy yield and various speed responses. According to availablesimulation results in the literature, in cases through which the flexibility and simplicity inimplementations is considered, the perturbation and observation (P&O) method is preferred, butdifficulties in determining the optimum step-size are the restrictions of this method. Due to itssimplicity, the best MPPT method for wind energy systems has found to be the optimal torquecontrol (OTC).
http://jaiee.iau-ahar.ac.ir/article_516233_dbf4d1ec05784abbe5b3e47be33dcaab.pdf
2014-12-01T11:23:20
2018-01-22T11:23:20
19
38
MPPT
Wind power
PMSG
Boost converter
Ramin
shirmohammadi
ramin.shirmohammadi69@gmail.com
true
1
AUTHOR
Vahid
rezanejad
vahid.rab@gmail.com
true
2
AUTHOR
Ali
ajami
aajami83@yahoo.com
true
3
AUTHOR
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1
"Probabilistic optimal power flow incorporating
2
wind power using point estimate
3
methods." Environment and Electrical
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Engineering (EEEIC), 2011 10th International
5
Conference on. IEEE.
6
[2] Abdullah MA, Yatim AHM, Tan CW. (2011) A
7
study of maximum power point tracking
8
algorithms for wind energy system. In: 2011
9
IEEE, first conference on clean energy and
10
technology (CET). p. 321–6.
11
[3] Saidur R, Islam MR, Rahim NA, Solangi KH.
12
(2010). A review on global wind energy policy.
13
Renewable and Sustainable Energy Reviews
14
2010; 14:1744–62.
15
[4]Lau KY, Yousof MFM, Arshad SNM, Anwari M,
16
Yatim AHM. (2010). Performance analysis of
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hybrid photovoltaic/diesel energy system under
18
Malaysian conditions. Energy; 35:3245–55.
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[5] Ngan MS, Tan CW. (2012). Assessment of
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economic viability for PV/wind/diesel hybrid
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energy system in southern Peninsular Malaysia.
22
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23
16:634–47.
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double objectives control for wind power
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Utility Deregulation and Restructuring and
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[8] Verdornschot M. (2009). Modeling and control of
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wind turbines using a continuously variable
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Eindhoven University of Technology,
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Department of Mechanical Engineering.
39
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Wind turbine control systems: principles,
41
modelling and gain scheduling design. Springer-
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approximation method for maximum power
44
point tracking (MPPT) in wind energy systems.
45
AZ: Phoenix; p. 2664–9.
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Alonso M. (2011). Power electronics evolution
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in wind turbines –a market-based analysis.
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Renewable and Sustainable Energy Reviews;
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15:4982–93.
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[12] Chakraborty A. (2011). Advancements in power
52
electronics and drives in interface with growing
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renewable energy resources. Renewable and
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Sustainable Energy Reviews; 15:1816–27.
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[13] Wang H, Nayar C, Su J, Ding M. (2011). Control
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and interfacing of a grid-connected small-scale
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wind turbine generator. IEEE Transactions on
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A review of power electronics interfaces for
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distributed energy systems towards achieving
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low-cost modular design. Renewable and
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review of power converter topologies for wind
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generators. Renewable Energy; 32:2369–85
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review of the state of theart of power electronics
69
for wind turbines. IEEE Transactions on Power
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Electronics; 24:1859–75.
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Advanced power conditioning system for grid
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turbines. In: 2010 IEEE Energy Conversion
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and novel control designs for direct driven
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PMSG wind turbines. Electric Power Systems
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[19] Mena Lopez HE. (2007). Maximum power
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tracking control scheme for wind generator
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systems [Master Thesis]. Texas A&M
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University.
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(2010). A variable speed wind turbine control
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strategy to meet wind farm grid code
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requirements. IEEE Transactions on Power
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PMSG based wind turbine. In: 2011 4th
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international conference on electric utility
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LG. (2010). Peak current mode control of threephase
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boost rectifiers in discontinuous
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conduction mode for small wind power
99
generators. Applied Energy; 87(August):2728–
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of converter topologies used for PMSG based
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wind power generation. Proceedings of the 2009
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Second International M.A. Abdullah et al. /
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(2012) 3220– 3227 3227 Conference on
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Computer and Electrical Engineering–Volume
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02. IEEE Computer Society:367–71.
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O. (2010). Review and critical analysis of the
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research papers published till date on maximum
111
power point tracking in wind energy conversion
112
system. In: 2010 IEEE Energy Conversion
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Congress and Exposition (ECCE). p. 4075–82.
114
[25] Hui J, Bakhshai A. (2008). A new adaptive
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control algorithm for maximum power point
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tracking for wind energy conversion systems. In:
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IEEE Power Electronics Specialists Conference
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PESC. p. 4003–7.
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[26] Kazmi SMR, Goto H, Hai-Jiao G, Ichinokura O.
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(2011). A novel algorithm for fast and efficient
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speed-sensorless maximum power point tracking
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in wind energy conversion systems. IEEE
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[27] Brahmi J, Krichen L, Ouali A. (2009). A
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comparative study between three sensorless
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control strategies for PMSG in wind energy
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conversion system. Applied Energy; 86:1565–
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Comparative study on variable-speed operations
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of a wind generation system using vector
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control. In: In: The 10th international conference
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on renewable energies and power quality.
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Comparative study of maximum power strategy
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in wind turbines. In: IEEE International
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Symposium on Industrial Electronics. p. 993–8,
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maximum power extraction algorithms.
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pitch angle control for energy management of a
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wind farm. Energy; 36:1470–9.
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current and future state of art development of
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hybrid energy system using wind and PV-solar:
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a review. Renewable and Sustainable Energy
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Control of Wind Energy Systems.
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systems. CRC Press.
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extraction strategies using power electronic
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converters [PhD dissertation]. Canada:
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[37] Barakati SM. (2008). Modeling and controller
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including matrix converter [PhD. dissertation].
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systems. In: Carriveau R, editor. Fundamental
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and advanced topics in wind power. In Tech.
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(2002). Optimum control of IPMSG for wind
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Y. (2005). Sensorless output maximization
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control of wind generators with induction
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machines without speed sensors. IEEE
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comparative study of maximum power
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extraction strategies in PMSG wind turbine
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system. In: 2009 IEEE Electrical Power &
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maximum power extraction algorithm for
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inverter-based variable speed wind turbine
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systems. IEEE Transactions on Power
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(2009). A comparison of maximum power-point
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implementation of power converters for wind
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maximum power tracking system for windenergy-
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C-W. (2009). Neural networks and particle
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ORIGINAL_ARTICLE
Velocity Control of Electro Hydraulic Servo System by using a Feedback Error Learning Method
In this paper, a new control method based on FEL electro hydraulic servo control withnonlinear flux and internal friction, has been presented. The new approach based oncontrollers combined by a classic PD controller and a fuzzy controller is smart. This newtechnique has a good ability to control the performance and stability. Simulations have beencarried out in Matlab environment and the results are presented below.
http://jaiee.iau-ahar.ac.ir/article_516235_c11839e9f61568b27b8e834fbd791a52.pdf
2014-12-01T11:23:20
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39
45
Electro-hydraulic servo system (EHSS)
Training feedback error (FEL)
Saeideh
yaghobi
saeideh.yaghobi@gmail.com
true
1
AUTHOR
sajad
yaghobi
s.yaghobi021 @gmail.com
true
2
AUTHOR
[1] H. E. Merritt, (1967). "Hydraulic
1
Control System", New York: John Wiley
2
& Sons, Inc.
3
[2] J. Watton, (1989). "Fluid Power System",
4
New York: Prentice Hall.
5
[3] Mihailo Jovanovic (2002). "Nonlinear
6
Control of an Electro Hydraulic Velocity
7
Servo System", ACC02, Anchorage,
8
Alaska, USA.
9
[4] A. Mohseni, M. Teshnehlab, M. Aliyari,
10
(2006). "EHSS Velocity Control by Fuzzy
11
Neural Network", IEEE, North American
12
fuzzy information processing society,
13
[5] Chan L. Asokanthan. (2001). "CMAC
14
Based Controller for Hydro Mechanical
15
Systems", American Control Conference
16
ACC01, Arlington, VA, USA.
17
[6] M. Aliyari. Sh, H. Aliyari. Sh, M.
18
Teshnehlab, J. Yazdanpanah (2006).
19
"Velocity Control of an Electro Hydraulic
20
Servo system", IEEE Conf. On
21
Networking and Sensing, Florida, pp 985-
22
[7] H. Azimian, R. Adlgostar and
23
M.Teshnehlab (2005). "Velocity Control
24
of an Electro Hydraulic Servomotor by
25
Neural Networks", Saint Petersburg,
26
RUSSIA, International Conference
27
PhysCon August 24-26
28
[8] Garagic, D. Srinivasan, K., "Application
29
of Nonlinear Adaptive Control
30
Techniques to an Electro Hydraulic
31
Velocity Servomechanism", American.
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[9] H. Miyamoto, M. Kawato, T. Setoyama
33
and R. Suzuki, (1988). "Feedback error
34
learning neural network for trajectory
35
control of robotic manipulator," Neural
36
networks, Vol.1, pp. 251-265.
37
ORIGINAL_ARTICLE
Novel Circularly Polarized Substrate Integrated Waveguide Slot Antenna By Using A Polarizer Technique
circularly-polarized antenna is built based on new SIW(substrate integrated waveguide)structure which contains cavity-backed resonator and a conventional polarized ring with twosquare slits in inner and outer ring that differ 90° at position and is proposed for right-handedcircular polarization (RHCP) and fabricated in two separate layers. A broadband impedancebandwidth of 13.9% and a RHCP axial ratio of 0.5GHz have been obtained under thecondition of less than VSWR ≤2 and axial ratio≤ 3 dB, respectively.
http://jaiee.iau-ahar.ac.ir/article_516237_890c84876a7701b8f57b626c1db42721.pdf
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46
49
circularly-polarized
cavity-backed
RHCP
SIW
Omid
Khodadad
khodadad.o@gmail.com
true
1
AUTHOR
Pejman
Mohammadi
p.mohammadi@iaurmia.ac.ir
true
2
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ORIGINAL_ARTICLE
Economic possibility assessment of creating wind power stations at Soltanieh zone of Zanjan province
Due to increasingly expansion of energy consumption and also decreasing and tendency towardsending fossil energy reserves, the current energy cycle needs to use alternative energy speciallywind energy, because it’s considerably cheaper than other recycling sources. The present researchinvestigates possibility of creating wind Power Station economically at Soltanieh zone of Zanajnprovince regarding economical perspectives. Cost of investment and other costs and alsoenvironmental effects, were assessed economically by considering annual obtained energy rate.Several scenarios were investigated; complete price of energy in every kW per hour at eachscenario was calculated and compared with other sources of electricity energy generationespecially fossil power stations. By considering obtained results, it’s expected that creating windpower station at Soltanieh zone has yielded economical benefits.
http://jaiee.iau-ahar.ac.ir/article_516238_17cda718754d1da414221b637a6f08df.pdf
2014-12-01T11:23:20
2018-01-22T11:23:20
50
56
wind power station
discount rate
Soltanieh
investment return
balanced cost
Davoud
Karimzadeh
davoudkarimzadeh@gmail.com
true
1
AUTHOR
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