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    2013 IEEE 7th International Power Engineering and Optimization Conference (PEOC2013). Langkawi. Malaysia 3-4 June2013

    Paraeter Identication of hree-PhaseInduction Motor using MALAB-Siulink

    Rhtul Hiyh Sliin\ Siti Hj Binti Ab Ki2, Shh Riz Moh Shh Bki, Fih IilUniversiti Teknologi MAA Malaysia

    40450 Shah Alam, Selangor, MalaysiaE-mail:

    rhsalimin@yahoocom

    sitihajarakadir@gmailcom

    Abstract- paper describes a convenient method for

    parameter identication of induction motor. Experimental testsof induction motor, namely dc, no-load and blocked-rotor testsare conducted to identify the motor parameters. To substantiatethe validity of the equivalent circuit parameters which arededuced from experimental tests, these characteristics are used tosimulate virtual machines implemented under MATLABSimulink for modeling each tests. Finally, the result of bothexperimental and simulation are compared. The result showsgood correlation between simulation value and values obtainedfrom experimental tests.

    Keywords ThreePhase Induction motor, MATLABSimulnkviual tests, parameter identcation.

    NTROUTON

    The induction motor is most popular motor used inindustry because of it is simple, rugged, low-priced, and easyto maintain However, the performance of induction motormight change whenever there are uctuations in load and itcould cause damage to the motor or other components if themotor works exceed the rated values Thus, the equivalentcircuit of an induction motor is a very useful tool in order todetermine the motor response to the changes in load

    The study is proposed to develop a simulation model toidenti the parameter of induction motor using MATLASimulink Comparative study with experimental are done todetermine the accuracy of the develop tests model

    There are a lot of research have been conducted to identithe induction motor parameters such as applied dynamicoptimization to the parameter identication of induction motorfor vector control and fault detection [], online estimation ofstator and rotor resistance of the induction motor in theindirect vector-controlled drive using articial neural

    networks [2] and another online paameter estimation usingleast-squares approximation [-4]

    n this paper, the conventional tecnique of tree basictests that are dc test, no-load test, and blocked rotor test wereuse and the experimental result will be compared to thesimulation result The dc, no-load and blocked rotor testssimulation models are developed by using MATLASimulink and Power System lockset (PS) [5-]Therelevancy of this study is by comparing the result obtainedom the laborator with computer simulation will facilitate

    978-1-4673-5074-7/13/$3100 2013 IEEE 7

    in order to check the accuracy of virtual induction motor'sparameter

    ETHODOLOGY

    The ow chart as shown in the Figure describes themethodology troughout the process used in this study tconsists of experimental test and MATLA simulation

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    Fig. I. Flow chart of the methodology

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    2013 IEEE 7th International Power Engineering and Optimization Conference (PEOC2013). Langkawi. Malaysia 3-4 June2013

    The steady-state operating characteristics of a tree-phaseinduction motor are oen investigated using a per-phaseequivalent circuit as shown in Figure 2

    Figure . Per-phase equivalent circuit of an induction motor referred tostator.

    n this circuit, RI and XI represent stator resistance and

    leakage reactance, respectively; R and X denote the rotorresistance and leakage reactance referred to the stator,

    respectively; resistance stands for core losses; Xrepresents magnetizing reactance; and s denotes the slip

    The equivalent circuit is used to facilitate the computationof various operating quantities, such as stator current, input

    power, losses, induced torque, and efciency When poweraspects of the operation need to be emphasized, the shunt

    resistance is usually neglected; the core losses can beincluded in eciency calculations along with the iction,windage, and stray losses n the following, the experimentaland simulation setup for each tests are described

    A. Experimental Test

    The parameters of the equivalent circuit can be obtainedom the dc, no-load, and blocked-oto tests Theseexperimental tests are done on two types of -connected 4-poles wound rotor induction motors: M (2 A W 666) and M2(MCD NOSD54 429) in the Application Laborator at level 4of Faculty of Electrical Engineering, UiTM Shah Alam Thespecication for each motors are given in Table

    TLE!. SPECIFICATION OF ETED MOTOR

    Power Votage Current Freq peedkW V)

    A)

    Hz rpm)

    I MI 45 5 5 43

    M2 3.7 45 6 5 44

    1 TestThe DC Test is performed to compute the stator winding

    resistance R A dc voltage is applied to the stator windings ofan induction motor The resulting current owing trough thestator windings is a dc current; thus there is no voltageinduced in the rotor circuit, and the motor reactance is zeroThe stator resistance is the only circuit parameter lncurrent ow and can be computed as

    2) No-Load TestThe no-load test on an induction motor is conducted to

    measure the rotational losses of the motor and to determine

    some of its equivalent circuit parameters (R, X) as inFigure n this test, the stator terminals are supplied bybalanced voltages at the rated equency with the rotoruncoupled om any mechanical load At the motor input, thecurrent, voltage and power are measured Total losses of corelosses, winding losses, windage and iction are said as thelosses in the no-load test

    LL

    Figure 3. Electrical connection for no load and blocked rotor tests.

    The equivalent input impedance is thus approximately

    IZeql= XM

    (2)where X 1 can be found in the blocked-rotor test, thus themagnetizing impedance X will be known for the motor andignore R

    3) Blocked-Rotor Test

    The blocked-rotor test on an induction motor is performed

    to determine some of its equivalent circuit parameters (R,

    X 1+X) n this test, in order to prevent rotation, the rotor isblocked The balanced voltages are then applied to the statorterminals by using equency which is 25 percent of the ratedequency and at a voltage where the rated current is achievedVoltage, current, and power are measured at the motor inputThe input power to the motor is given by

    P = 3Vr/ 9 ()Thus locked-rotor impedance angle is can be found as

    B = cs- l

    r

    I

    The angle of total impedance is S,

    IZBR = BR jXR= ZB jlZB 9The blocked-rotor resistance RB is equal to

    R = R '

    (4)

    (5)

    (6)Since RI was determined in the dc test, thus rotor resistance

    R can now be found as:. z = BR- R ()

    The blocked-rotor reactance XB is equal to

    X_frw:a

    Xl - X XR - R - '

    f 8Bu snce oun oo nucon oos as use n te

    expeental, teeoe

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    2013 IEEE 7th International Power Engineering and Optimization Conference (PEOC2013). Langkawi. Malaysia 3-4 June2013

    3) Virtual Blocked-Rotor Test

    B. Induction Motor Tests Using AB-Simulink

    (9)

    The parameters identied om experimental test will thenbe validated by using virtual induction motor om theMA TLA-Simulik Table shows the identied paametersused to dimension the simulation machine

    The virtual blocked-rotor test can be carried out by usingthe same Simulink model of no-load test However the onlyslightly difference is the inertia and the iction paameters arereset to inite values (inertia=0000kgm2 andiction= Nmsrad)

    1) Virtual Test

    The model shown in Figure 4(a) is built to represent thestator resistance measurements

    2) Virtual No-Load TestTo perfo the no-load test, the model shown in Figure

    4(b) is built

    TAE !

    Nomina power, L-Lvoltage and frequency

    Statr (R , L )otor ' L)

    utua inductance L

    nertia friction andpairs of poles

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    b)

    9O Mc51 Unit

    SK VIRTU TET PTER

    l M

    242000W, 45V, 50Hz 223700W, 45V, 50Hz

    4896, 39 625, 2332

    5774, 39 985, 2332275 33

    324 kg.mi

    , 358 324 kg.mL

    , 358N.m.s/rad 2 Ns/ra 2

    Dpy

    ;

    Fige 4 (a Simik mde f tet (b Simik mde f -ad tet ad bked-t tet

    9

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    I

    R2

    X

    X

    2

    XM

    2013 IEEE 7th International Power Engineering and Optimization Conference (PEOC2013). Langkawi. Malaysia 3-4 June2013

    ESULT ND DIS CUSSION

    n this section, the result of experimental tests andsimulation tests ae presented in Table and Table V, wherevarious quantities such as voltage, current and power arerequired to compute the equivalent motor parameters

    TBLE I. EULT OF EXEINT TET OF IDUCTION OTOR

    Test Votage Current PowerV) A )

    DC 235 24 -l No-oad 45 345 22

    Bocked-rotor 948 5 8DC 3 24 -

    2 No-oad 45 3 969Bocked-rotor 87 6 28

    TBLE IV. EULT OF IATION TET OF IDUCTION OTOR

    Test Votage Current PowerV) A )

    DC 235 243 -l No-oad 45 3447 228

    Bocked-rotor 948 4993 8DC 3 24 -

    2 No-oad 45 2996 967Bocked-rotor 87 598 28

    n order to determine the accuracy and effectiveness ofproposed models, the result of both hardware and soware

    parameters models such as RI, R2, 2 and M arecompared in term of percentage error as shown in Table V

    TBLE V. QUIVENT CrRCUlT PRATER DETEEDBYEXEINT IATION TH COEPONDING EROR

    l Ml

    Experiment imuationError

    Experiment imuation(%

    4896 4843 .08 625 625

    5774 5857 .44 985 9885

    23 2 2.44 7325 7335

    23 2 2.44 7325 7335

    6822 683 0.3 72545 72635

    Error

    (%0.00

    0.7

    0.4

    0.4

    .9

    ased on the result obtained, the percentage error om

    the result of M2 is smaller than the result of M Thus, it canbe said that the proposed method more likely can preciselypredict the parameters of M2 better than M

    The parameters values of R om the result of M2 forboth simulation and experimental values are same which

    means that it is accurate while the value of R om the resultofM have slightly different

    Compared with parameter result of M2, the error ofparameters om the result of M especially and arequite high might be because the induction motor used forexperiment

    4

    650

    is old, has not been use for a long time thus the result may notbe accurate

    Nevertheless, overall of the result indicates that theaverage relative error om both methods is below % and

    even though the error of and 2 in result ofM are slightlyhigh, but it is still acceptable since it is less than % asedon the comparative study between simulation and experimentshows that the proposed method using Matlab-Simulik is canprecisely predict the equivalent parameter of the inductionmotor

    V CONCLUSION

    The objectives of this study have been met where theinduction motor model was successlly developed usingMatlab-Simulik and the accuracy of the developed testsmodel's parameters can be obtained om experimental Theresult om both methods shows good correlation in term ofrelative percentage error which indicates as the accuracy ofvirtual induction motor's parameter The limitation of thisstudy is only two induction motors are used in theexperimental test because of the limited availability ofinduction motor and some of the motors experiencemisalignment and produce noise as the motor rotate

    The use of computer soware for modeling andsimulating electrical machines is actually necessary for cuentteaching and leaing Thus, it will facilitate on undergraduatendamental leaing in electrical machinery courses becauseit help to give them understanding of the motor performance

    As a recommendation, the laborator session should havedivided into two main components: soware session andhardware session y using soware program, student will beable to investigate motor characteristic under differentcondition which they incapable to do that at hardware sessiondue to limited time constraint esides that, the proposedmethod of using simulation also helps them to insight theexperiment procedure and expected result before they enteringfor the hardware laborator session

    EFERENCES

    []. Jong-Wook im & Sang Woo im 2005), Parameter Identication ofInduction Motor Using Dynamic Encoding Algorithm for SearchesDEAS), MRCH 2005

    [2]. Baburaj aranayil, Muhammed Fazlur Rman, and Colin Granth2009), rticial Neural Networks , 4 January 2009

    [3]. aiyu Wang, John Chiasson, Marc Bodson, and Leon M. Tolbert2005), A Nonlinear Least-Squares Approach for Identication of theInduction Motor Parameters, IEEE TRNSACTIONS ONAUTOMATIC CONTROL, VOL. 50, NO. 0, OCTOBER 2005

    [4]. Duy C. Huynh, Matthew W. Dunnigan, Stephen 1. Finney 200), Online Parameter Estimation of an Induction Machine using a RecursiveLeast-Squares Algorithm with Multiple Time-Varying ForgeingFactors, 200 IEEE International Conference on Power and EnergyPECon20 0), Nov 29 Dec , 200, uala Lumpur, Malaysia.

    [5]. m Bentounsi, Hind Djeghloud, Hocine Benalla, Tar Birem, dHamza miar 20), Computer-Aided Teaching UsingMATLB/Simulink for Enhancing an 1M Course With LaboratoryTests, IEEE TRNSACTIONS ON EDUCATION, VOL. 54, NO. 3,AUGUST 20.

    [6]. Saet Ayasun and Chika O. Nwankpa 2005), Induction Motor TestsUsing MATLB/Simulink and Their Integration Into Undergraduate

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    2013 IEEE 7th International Power Engineering and Optimization Conference (PEOC2013). Langkawi. Malaysia 3-4 June2013

    Electric Machinery Courses, IEEE TRNSACTIONS ONEDUCATION, VOL. 4, NO. I, FEBRURY 2005.

    [7]. A. Bentounsi d H. Djeghloud 200), Hd-on Experiments dComputer-aided Simulations for Sustaining the 1M Course, XIXInternational Conference on Electrical Machines - ICEM 200, Rome

    []. (aglar Hki zyurt 2005), Pareter and Speed Estimation ofInduction Motors from Manufacturers Data and Measurements, January2005.

    [9]. Varennes, Qubec, St. Bruno, Montreal and Qubec City, Power System

    Blockset User's Guide, COPYIGHT 94 - 999 by TEQSIMInternational Inc., a sublicense of Hydro-Qubec, and The MathWorks,Inc.

    [0]. Electrical Machinery and Power System Fundamental, third edition,Stephen J. Chapman, ISBN 0-07-22620-6, McGraw-Hil, 999.

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