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    IEEE TRANSACTIONS ON MAGNETICS, VOL. 50, NO. 11, NOVEMBER 2014 8600404

    Analytical and Experimental Modeling and Simulation of a

    Magnetic Braking System for Pipeline Oil ApplicationsRicardo F. Pinheiro Filho, Andrs O. Salazar, Francisco E. C. Souza, and Paulo L. B. da Silva

    Federal University of Rio Grande do Norte, Natal 59072-970, Brazil

    This paper presents a study on the braking effect of the electromagnetic forces produced by eddy currents induced in nonmagneticmaterials. The purpose of this paper analyzes the behavior of a moving device within ducts when a constant magnetic field is appliedon its inner surface, causing induction of eddy currents in pipeline walls, and verifies how the interaction effects of these currentswith the field that induced them might be significant on the device movement.

    Index Terms Analytical models, eddy currents, electromagnetic devices, pipelines.

    I. INTRODUCTION

    THE eddy currents induction effect is a problem in electro-magnetic devices. But, the brake effect associated to thiscurrents interaction with magnetic fields through Lorentz force

    opens a larger range of applications [1], [2]. Magnetic brakes

    are widely used in drive systems powered by electric machines,

    bullet trains, and automotive systems. Currently, eddy currents

    has been also applied in many systems, metal detectors, andmost varied sensors, as in the case of verifying the integrity

    of oil and gas pipelines.

    The velocity of the pipeline instrumented gadgets (PIGs)

    should to be maintained between 1 and 5 m/s. However,

    this movement is only provided by the fluid pressure behind

    the device and its velocity control is hampered by obstacles

    formed by material deposition along the line. This leads to

    interruptions in PIG travel and a later shot caused by pressure

    increase when the device is stopped by an obstacle. This shot

    becomes a problem for monitoring the integrity of the pipes

    because of the speed increment, above acceptable limits for

    proper operation of the sensors instruments.

    This paper deals with an analysis of a brake system to be

    embedded in PIGs with purposes to get control of its velocity

    through the pipes.

    The braking effect and control of the velocity of a small

    vehicle that moves over a nonmagnetic surface will be stud-

    ied by development of analytical models, simulations pro-

    vided by engineering support software using finite element

    method (FEM), and experimental prototype testing. The pro-

    posed PIG braking system, formed by an arrangement of

    electromagnets is illustrated in Fig. 1, the mechanical structure

    of the experimental prototype is shown in Fig. 3, and the

    analytical modeling will be performed from its parameters,

    which are specified in Table I and illustrated in Fig. 2.

    I I . SYSTEMD ESCRIPTION

    The system developed for this paper is a small-scale vehicle

    that runs over a steel flat bar used as rail, having an embedded

    Manuscript received March 5, 2014; accepted May 26, 2014. Date of currentversion November 18, 2014. Corresponding author: R. F. P. Filho (e-mail:[email protected]).

    Color versions of one or more of the figures in this paper are availableonline at http://ieeexplore.ieee.org.

    Digital Object Identifier 10.1109/TMAG.2014.2328520

    Fig. 1. Mechanical structure arrangement proposed to the PIG brake system.

    electromagnet with E-shaped core. The vehicle that runs overthe rail and simulation model are implemented to emulate the

    interaction of one of the electromagnetic units with the inner

    surface of the pipeline in which the proposed system will

    shift.

    The steel rail is a flat bar with low reluctance that will

    be used as a guide shift for the vehicle, carrying the elec-

    tromagnet, which will interact with a nonmagnetic (and low

    resistivity) copper plate positioned between electromagnet

    poles and the guide plate, as shown in Figs. 2 and 3. This steel

    flat bar will attract the field generated by the electromagnet,

    thereby reducing the system reluctance and leading a greater

    amount of flux lines through the conducting plate, increasing

    the flux intensity therethrough and the field skin depth, and

    reducing the skin effect which minimizes the induced currents.

    Thus, the system and its skin effect nonlinear phenomenon can

    be approximated by a simpler model.

    III. MODELING ANDS IMULATION A NALYSIS

    Figs. 3 and 4 show the full system arrangement, which

    is driven by gravity load on the braking train (P). The magneticflux moving over the metallic surface induces eddy currents,

    0018-9464 2014 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.

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    8600404 IEEE TRANSACTIONS ON MAGNETICS, VOL. 50, NO. 11, NOVEMBER 2014

    TABLE I

    SYMBOLOGY: D IMENSIONS, M AGNITUDES,AN D M ATERIALP ROPERTIES

    Fig. 2. Magnetic flux of prototype core through metal surfaces and the

    induced eddy currents.

    as it is illustrated in Fig. 2. These currents interacting with the

    moving flux produce the Lorentz force, given by (1) [3], [4],

    which opposes to the system movement, reducing it, and

    allowing get control of the lowering speed by the field intensity

    of the electromagnet, controlled by the magnitude of the

    injected current in coil. The magnetic flux density B, for the

    proposed case, is given by

    Find=J B (1)

    Fig. 3. Experimental prototype mechanical structure.

    Fig. 4. Representation of the forces that act on the experimental prototype.

    |Find| = B Iind sin BIB= r0

    gapncoilIDC (2)

    where r, typically unitary on copper, receives an empirical

    correction factor (r 1.175), which emulates the effectof high permeability of the steel rail that increases the flux

    through the conducting plate.The induced density current (Jind)behavior is obtained from

    (3) [1], [5], which describes the current decrease caused by

    skin depth reduction in the field with frequency increase.

    The current magnitude is obtained by solving (4), whose

    integration variables refer to the Cartesian axes of Fig. 2. The

    current attenuation by the field frequency increase is inserted

    in the model by (5) that defines skin depth (1)as a functionwith respect of the velocity [6]

    Jind(y,z, t)= Jm ey cost2

    z y

    (3)

    Iind

    = s

    0

    0.4s

    0.4sJind(y,z, t)

    dzdy (4)

    =

    fr0

    S=

    vr0

    S= v (5)

    where is the length of the electromagnet, as illustrated

    in Fig. 2. It is equivalent to the wavelength seen by the

    conducting plate due to the field movement over it.

    The first steady-state model obtained for the braking force

    produced by electromagnet neglects the skin depth effect. This

    model, in vector form, is given by (6), and its graphical

    representation is shown in Fig. 5. Where p is the number

    of electromagnet pairs of poles and the other parameters are

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    FILHO et al.: ANALYTI CAL AND E XP ER IM ENTAL M ODEL ING AND SI MULAT ION OF A M AGNE TIC BRAKING S YS TE M 8 60 04 04

    Fig. 5. Behavior of braking force in function of the speed variations and theapplied current in the coil.

    obtained from Fig. 2 and Table I

    Find

    = 2p

    s

    s0 ls

    lgap

    ngapIDC2

    V. (6)

    The braking force due to eddy currents rises with increasing

    velocity, whereas it is reduced due to the skin effect. In order

    to better describe this behavior, we must improve the accuracy

    of the model. Thus, the geometric system model was built on

    a computational platform and simulated using FEM. Fig. 6,

    given as simulation result, presents how the induced current

    density is distributed in the copper when a relative displace-

    ment speed (v = 2 m/s) between the conducting plate and theelectromagnet (supplied by 5 A dc current) is applied. Fig. 6(a)

    shows how the steel plate modifies the induced current density

    distribution on the nearest copper surface, whose magnitude

    increases up to 17.7% compared with the case where the

    conductive surface is not above the rail [Fig. 6(b)]. This

    difference reaches up to 39.4% in the middle of the copper

    plate thickness.

    Analysis of braking force got by simulations, with variations

    of the coil current magnitude and the conductive plate shifting

    speed over the poles, is performed by comparing them with

    a more complete theoretical model, given by (7), got for

    t= 0 (steady-state), by replacing (2) and (4) in (1)Find= kgeo (ncoilIDC)2

    v e

    vsin

    v+ /4 (7)

    where

    kgeo= krp S

    gap2

    S

    S03

    = S

    0

    4SS.

    The constantkr= 1.458kd(in kgeo)replaces all constantspresent in entire equationing process and joins the effect of

    leakage flux in air gap (kf in:kd= kf sin BI) as an empiricalconstant that also represents the Lorentz force decrease due to

    the angle (BI) between B and Iind, presented in (1), which

    cannot be measured.

    The comparison between the developed models and

    results obtained by simulation is shown in Figs. 7 and 8.

    Fig. 6. Current densities in copper surface (a) with the steel plate presenceand (b) without it, obtained by FEM simulations.

    Fig. 7. Effect of velocity variation on the braking force for three differentmagnitudes of injected current Idc.

    Significant differences between the curves are due to the model

    inaccuracy related to the leakage flux. It is not a properly mod-

    eled phenomenon, and may be minimized by reducing the gap.Fig. 7 shows both developed models and compares them

    with the results of braking force obtained by simulation when

    three different current values are applied to the electromagnet

    coil. For velocities where the skin effect becomes evident, the

    system behaves according to the developed improved model.

    This does not occur at velocities below 1 m/s. With low

    influence of this phenomenon, the system has a behavior more

    close to the model presented in (6), as shown in linear curves

    in Fig. 7.

    This same behavior is shown in Fig. 8, in which the

    braking force is a function with respect to Idc, got for three

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    8600404 IEEE TRANSACTIONS ON MAGNETICS, VOL. 50, NO. 11, NOVEMBER 2014

    Fig. 8. Effect of injected current variation on the braking force for differentvelocities.

    Fig. 9. Theoretical and experimental dynamic behavior of the proposedsystem.

    different constant velocities. At the lowest one (0.5 m/s), the

    curve obtained by simulation moves away from the behavior

    described by the model (7) that considers the skin effect and

    approaches of model (6) behavior.

    IV. SYSTEMDYNAMICA NALYSIS

    The system dynamic model is reached by isolating the

    variable v(t) in (6), converted into scalar form. Thus, thedynamic model is given by (8), which represents its behavior

    curves according to parameters in (9), where the obtained

    value to kdwas 0.782.

    Curves of the synthesized model are confronted with exper-

    imental results from tests with the prototype of Fig. 3, which

    runs over a steel rail length 2 m. Results are presented in Fig. 9

    v(t)= mtgsingKv

    1 ekvt (8)

    kv= kdp SS 0

    S

    gapncoilIDC

    2

    . (9)

    The experimental results point to the validity of the qualitative

    behavior of the proposed model and as expected, the prototype

    keeps constant velocity in steady state [7].

    V. CONCLUSION

    The dynamic model proved quite representative of the

    studied system when compared with the experimental results,

    and can be used to design a control to the system.

    Although there are inaccuracies caused by the presence

    of friction, mild deformities in the rail, interrupting the

    acceleration of electromagnet, inaccuracy in measuring the

    air gap and not modeled phenomena, such as leakage flux,

    the experiments show a good approximation of the proposedmodel to real operation conditions of the braking system by

    induced currents.

    The approach of the skin effect on induced currents caused

    by magnetic field skin depth in metal surfaces provides a better

    approximation of the analytical model at higher velocities.

    However, the results obtained by simulation and experimental

    tests demonstrate that, at low velocities, linear model that

    neglects this phenomenon has a better accuracy of the system

    behavior observed by different methodologies.

    REFERENCES

    [1] A. B. Dietrich, I. E. Chabu, and J. R. Cardoso, Eddy-current brake

    analysis using analytic and FEM calculations. I. Theory, in Proc.IEEE Int. Electr. Motor Drive Conf. (IEMDC), Cambridge, MA, USA,Jun. 2001, pp. 454457.

    [2] I. Mayergoyz, C. Serpico, and P. McAvoy, Analysis of eddy currentsin magnetically nonlinear conductors, J. Appl. Phys., vol. 109, no. 7,pp. 07E703-107E703-3, Apr. 2011.

    [3] M. O. Gulbahce, D. A. Kocabas, and A. K. Atalay, Determination ofthe effect of conductive disk thickness on braking torque for a low powereddy current brake, in Proc. 4th Int. Conf. Power Eng., Energy Electr.

    Drives, Istanbul, Turkey, May 2013, pp. 12721276.[4] K. J. W. Pluk, T. A. van Beek, J. W. Jansen, and E. A. Lomonova,

    Modeling and measurements on a finite rectangular conducting platein an eddy current damper, IEEE Trans. Ind. Electron., vol. 61, no. 8,pp. 40614072, Aug. 2014.

    [5] E. J. Davies, General theory of eddy-current couplings and brakes,Proc. Inst. Electr. Eng., vol. 113, no. 5, pp. 825837, May 1966.

    [6] S. Zhou, H. Yu, M. Hu, and L. Huang, Design of permanent magnet

    eddy current brake for a small scaled electromagnetic launch model,J. Appl. Phys., vol. 111, no. 7, pp. 07A738-107A738-3, 2012.

    [7] F. L. da Silveira, Y. Levin, and F. B. Rizzato, A frenagemeletromagntica de um ma que cai, Caderno Brasileiro Ensino Fsica,vol. 24, no. 3, pp. 295318, 2007.