failure diagnosis for demagnetization in interior...

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Research Article Failure Diagnosis for Demagnetization in Interior Permanent Magnet Synchronous Motors Takeo Ishikawa, Naoto Igarashi, and Nobuyuki Kurita Division of Electronics and Informatics, Gunma University, 1-5-1 Tenjin-cho, Kiryu, Gunma 376-8515, Japan Correspondence should be addressed to Takeo Ishikawa; [email protected] Received 13 May 2017; Accepted 10 September 2017; Published 16 October 2017 Academic Editor: Tariq Iqbal Copyright © 2017 Takeo Ishikawa et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Since a high degree of reliability is necessary for permanent magnet synchronous motors, the detection of a precursor for the demagnetization of permanent magnets is very important. is paper investigates the diagnosis of very slight PM demagnetization. e permanent magnet volume is altered so as to mimic the effect of demagnetization. is paper investigates the influence of demagnetization by using several methods: the 3D finite element analysis (FEA) of the motor, the measurement of high-frequency impedance, and the measurement and FEA of the stator voltage and current under vector control. We have obtained the following results. e back-EMF is proportional to permanent magnet volume, and there is no difference in the demagnetization in the radial direction and in the axial direction. Even harmonics and subharmonics of flux density at the teeth tip could be useful for diagnosis if a search coil is installed there. e relatively low frequency resistance at the -axis position is useful for diagnosis. Under vector control, the stator voltage is useful except in an intermediate torque range, and the intermediate torque is expressed by a simple equation. 1. Introduction Permanent magnets (PMs) of permanent magnet syn- chronous motors (PMSMs) can be demagnetized by temper- ature, large stator currents, large short-circuit currents pro- duced by the inverter or stator faults, and the aging of magnet itself. Moreover, because the PM material is oſten magnetized aſter it is inserted into the rotor assembly, there is a possibility that the PM is not in a state of complete magnetization. Since a high degree of reliability is necessary for PMSMs, the detection of a precursor to the demagnetization of PMs is very important [1]. ere have been several research studies that explored methods for detecting the demagnetization of a PM. Rajagopalan et al. created a magnet defect by chipping off a part of the magnet and then measured the stator current [2]. Urresty et al. made several contributions [1, 3–5]. ey analyzed the stator current of a PM motor using several methods: Hilbert-Huang transform, method based on Box- counting fractal dimension, zero-sequence voltage compo- nent, and back-EMF based method. Liu and Zhu also showed that the magnetization can be estimated from the back-EMF [6]. Moreover, in order to determine the magnet temperature caused by the demagnetization, some approaches have been proposed [7]. One possible way to determine the rotor temperature under real-time conditions is a precise flux observer [8]. e other method is an invasive method, which estimates the impact of the flux variation on the motor’s magnetic circuit from the current response to injected voltage signals [9, 10]. However, in [1–5] the volume of the PM was decreased by 16.7%. e degree of PM demagnetization in these past studies was relatively large. It would be preferable to be able to detect the onset of demagnetization to provide the user with advance notice that the magnet is beginning to be demagnetized. Although all poles may be uniformly demagnetized owing to the causes of demagnetization described above, the previous research studies created the magnet defect by chipping off a part of the permanent magnet or by reducing the volume of only one pole. In this study, the volume of only one pole is also reduced to simulate the demagnetization. In order to deal with a less demagnetized situation compared to those in the previous research studies, the volume of one of the four PMs is reduced by 10%, 20%, and 30%; that is, Hindawi International Journal of Rotating Machinery Volume 2017, Article ID 2716814, 13 pages https://doi.org/10.1155/2017/2716814

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Page 1: Failure Diagnosis for Demagnetization in Interior ...downloads.hindawi.com/journals/ijrm/2017/2716814.pdf · ResearchArticle Failure Diagnosis for Demagnetization in Interior Permanent

Research ArticleFailure Diagnosis for Demagnetization in Interior PermanentMagnet Synchronous Motors

Takeo Ishikawa, Naoto Igarashi, and Nobuyuki Kurita

Division of Electronics and Informatics, Gunma University, 1-5-1 Tenjin-cho, Kiryu, Gunma 376-8515, Japan

Correspondence should be addressed to Takeo Ishikawa; [email protected]

Received 13 May 2017; Accepted 10 September 2017; Published 16 October 2017

Academic Editor: Tariq Iqbal

Copyright © 2017 Takeo Ishikawa et al.This is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Since a high degree of reliability is necessary for permanent magnet synchronous motors, the detection of a precursor for thedemagnetization of permanent magnets is very important.This paper investigates the diagnosis of very slight PM demagnetization.The permanent magnet volume is altered so as to mimic the effect of demagnetization. This paper investigates the influence ofdemagnetization by using several methods: the 3D finite element analysis (FEA) of the motor, the measurement of high-frequencyimpedance, and the measurement and FEA of the stator voltage and current under vector control. We have obtained the followingresults.The back-EMF is proportional to permanent magnet volume, and there is no difference in the demagnetization in the radialdirection and in the axial direction. Even harmonics and subharmonics of flux density at the teeth tip could be useful for diagnosisif a search coil is installed there. The relatively low frequency resistance at the 𝑑-axis position is useful for diagnosis. Under vectorcontrol, the stator voltage is useful except in an intermediate torque range, and the intermediate torque is expressed by a simpleequation.

1. Introduction

Permanent magnets (PMs) of permanent magnet syn-chronous motors (PMSMs) can be demagnetized by temper-ature, large stator currents, large short-circuit currents pro-duced by the inverter or stator faults, and the aging of magnetitself. Moreover, because the PMmaterial is oftenmagnetizedafter it is inserted into the rotor assembly, there is a possibilitythat the PM is not in a state of complete magnetization.Since a high degree of reliability is necessary for PMSMs, thedetection of a precursor to the demagnetization of PMs is veryimportant [1].

There have been several research studies that exploredmethods for detecting the demagnetization of a PM.Rajagopalan et al. created a magnet defect by chipping offa part of the magnet and then measured the stator current[2]. Urresty et al. made several contributions [1, 3–5]. Theyanalyzed the stator current of a PM motor using severalmethods: Hilbert-Huang transform, method based on Box-counting fractal dimension, zero-sequence voltage compo-nent, and back-EMF basedmethod. Liu and Zhu also showedthat the magnetization can be estimated from the back-EMF

[6]. Moreover, in order to determine the magnet temperaturecaused by the demagnetization, some approaches have beenproposed [7]. One possible way to determine the rotortemperature under real-time conditions is a precise fluxobserver [8]. The other method is an invasive method, whichestimates the impact of the flux variation on the motor’smagnetic circuit from the current response to injected voltagesignals [9, 10]. However, in [1–5] the volume of the PM wasdecreased by 16.7%. The degree of PM demagnetization inthese past studies was relatively large. It would be preferableto be able to detect the onset of demagnetization to providethe user with advance notice that the magnet is beginning tobe demagnetized.

Although all poles may be uniformly demagnetizedowing to the causes of demagnetization described above,the previous research studies created the magnet defect bychipping off a part of the permanent magnet or by reducingthe volume of only one pole. In this study, the volume of onlyone pole is also reduced to simulate the demagnetization. Inorder to deal with a less demagnetized situation comparedto those in the previous research studies, the volume of oneof the four PMs is reduced by 10%, 20%, and 30%; that is,

HindawiInternational Journal of Rotating MachineryVolume 2017, Article ID 2716814, 13 pageshttps://doi.org/10.1155/2017/2716814

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2 International Journal of Rotating Machinery

PM

Nonmagneticmaterial

(a) Rotor configuration (b) Photograph of rotor

Figure 1: Rotor of the experimental PMSM.

Nonmagneticmaterial PM

r

z

z

20.2

mm

22.6 mm

2.2

mm

(a) Magnet configuration (b) Photograph of magnet

Figure 2: PMs for radial demagnetization.

the total volume of PM material used is decreased by 2.5%,5.0%, and 7.5%, respectively, in separate experiments [11].Two types of demagnetization are taken into account, that is,demagnetization in the radial direction and axial direction.

In this paper, physical variables to be available fordiagnosis for less demagnetization in interior permanentmagnet synchronous motors are clarified by simulations andexperiments. First, electromotive force, inductances, high-frequency impedance, and magnetic flux density in theair-gap are investigated. Next, the voltage and current areinvestigated when the motor is driven under a vector controlstrategy.

2. Rotor Configuration of PMSM withPermanent Magnet Defect

Figure 1(a) shows the rotor configuration of an experimentalPMSM. This motor’s rating is as follows: 1.5 kW, 3000min−1,4.8Nm, 5.6 A, four-pole machine. The PM volume of one offour poles is altered so as to mimic the effect of demagne-tization. Figure 1(b) shows a photograph of the rotor of the

experimental PMSM. When performing experiments withseveral motors, slight differences between motors can affectthe relative motor performance especially if the amount ofdemagnetization is small. In order to avoid this problem, weperform experiments on the same stator and the same rotorusing the different PMs.

Figure 2(a) shows the demagnetization in the radial direc-tion. We define this operating condition as radial demagneti-zation hereafter. One pole is composed of four PMs, and thethickness of the four PMswhich compose one pole is reducedby 10%, 20%, and 30%, in separate experiments, in orderto imitate demagnetization or imperfect magnetization asshown in Figure 2(b). Figure 3(a) shows the demagnetizationin the axial direction. We define this operating condition asaxial demagnetization hereafter. The axial length of two ofthe four PMs per pole is reduced by 20%, 40%, and 60% asshown in Figure 3(b). Therefore, the PM volume of one polefor axial demagnetization is approximately the same as thatfor radial demagnetization. In order to remove eccentricity,nonmagnetic materials are inserted into the region where thePM is decreased.Thevolumeof PMs is shown inTable 1.Here,

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International Journal of Rotating Machinery 3

Nonmagneticmaterial PM

r

z

z

20.2

mm

22.6 mm 2.2

mm

(a) Magnet configuration (b) Photograph of magnet

Figure 3: PMs for axial demagnetization.

Table 1: Dimension of PMs.

PM 𝐿 [mm] 𝑊 [mm] 𝐻 [mm] 𝑉 [mm3] 𝑉/𝑉healthyHealthy 22.6 20.2 2.2 16070 —𝑅-2.5% 22.6 20.2 2.0 15704 0.977𝑅-5.0% 22.6 20.2 1.8 15339 0.955𝑅-7.5% 22.6 20.2 1.6 14974 0.932𝑍-2.5% 18.0 20.2 2.2 15661 0.975𝑍-5.0% 13.4 20.2 2.2 15252 0.950𝑍-7.5% 8.8 20.2 2.2 14843 0.924

Figure 4: Finite element mesh for the analyzed motor with demag-netized magnet.

healthy means motor with fully magnetized PMs, 𝑅-2.5%means motor with PMs demagnetized in the radial directionby 2.5%, and 𝑍-2.5% means motor with PMs demagnetizedin the axial direction by 2.5%. PMs were manufactured by0.1mm step.

3. Electromotive Force of Demagnetized Motor

The flux distribution in the motor at no load is calculatedusing the 3D finite element method. The analysis model is1/2 of the model in the axial direction, because there is nosymmetric condition in the circumferential direction. Thenumbers of nodes and elements are 132,813 and 225,758,respectively, as shown in Figure 4.

Table 2: Measured flux linkage.

Motor Φ [Wb] Φ/ΦhealthyHealthy 0.2157 —𝑅-2.5% 0.2108 0.978𝑅-5.0% 0.2055 0.954𝑅-7.5% 0.2002 0.930𝑍-2.5% 0.2104 0.976𝑍-5.0% 0.2048 0.950𝑍-7.5% 0.1994 0.925

Figure 5 shows the calculated electromotive force, whenthe motor is rotating at 1,500min−1. It is shown that theelectromotive force is proportional to the volume of PMs, andthe waveform of electromotive force of the motor with radialdemagnetization is the same as that of axial demagnetization.Figure 6 shows the measured electromotive force, whenthe motor is rotating at 1500min−1. It is shown that thewaveforms of the measured electromotive force are approx-imately same as the calculated ones. In order to show thedifference between the demagnetized and healthy situations,Table 2 shows the flux linkage, which is the integral of theelectromotive force. It is well known that the magnetizationof PMs can be estimated from the back-EMF [5, 6, 8] Inthis paper, it is found by both simulations and experimentsthat the reduction of the flux linkage of the motor withdemagnetized PMs is equal to the reduction of PM volume.There is no difference in the back-EMF of the motor withPMs demagnetized in the radial direction and in the axialdirection.

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4 International Journal of Rotating Machinery

−150

−100

−50

0

50

100

150

0 0.005 0.01 0.015 0.02

Volta

ge (V

)

Time (sec)

HealthyR-2.5%

R-5.0%R-7.5%

(a) Radial demagnetization

0

HealthyZ-2.5%

Z-5.0%Z-7.5%

−150

−100

−50

50

100

150

0 0.005 0.01 0.015 0.02

Volta

ge (V

)

Time (sec)

(b) Axial demagnetization

Figure 5: Calculated EMF waveform.

−150

−100

−50

0

50

100

150

0 0.005 0.01 0.015 0.02

Volta

ge (V

)

Time (sec)

HealthyR-2.5%

R-5.0%R-7.5%

(a) Radial demagnetization

0

HealthyZ-2.5%

Z-5.0%Z-7.5%

−150

−100

−50

50

100

150

0 0.005 0.01 0.015 0.02

Volta

ge (V

)

Time (sec)

(b) Axial demagnetization

Figure 6: Measured EMF waveform.

Figure 7 shows the calculated magnetic flux density at thecenter of the air-gap and at the center of the axial direction.The magnetic flux density is reduced from 0.516 T to 0.481 Tfor the radial demagnetization and from 0.516 T to 0.479 Tfor the axial demagnetization at 𝜃 = 315∘. Figure 8 showsthe magnetic flux density at the center of air-gap and axialdirection versus PM volume. It is found that the magneticflux density is proportional to PM volume irrespective of thedirection of demagnetization. Figure 9 shows the calculatedmagnetic flux density at the center of the air-gap and at 𝜃= 315∘. The magnetic flux density is almost flat in the 𝑧-direction. Even for axial demagnetization the magnetic fluxdensity is 0.479 T at 𝑧 = 0 and 0.477 T at 𝑧 = 42mm. Figure 10shows the magnetic flux density at the center of air-gap and𝜃 = 315∘ versus the ratio of PM volume. It is also foundthat the magnetic flux density is proportional to PM volumeirrespective of the direction of demagnetization.

Figure 11 shows the calculated waveform of magnetic fluxdensity at the stator teeth tip. It looks like a rectangularshape. Note that the calculated magnetic flux density for

𝑅-2.5% is almost same as that for 𝑧-2.5%. Figure 12 shows itsFourier components.Magnetic flux density for healthymotorincludes the fundamental and odds harmonics. On the otherhand, magnetic flux density for themotor with demagnetizedPMs includes even harmonics and subharmonics as wellas the fundamental and odds harmonics. Therefore, if asearch coil is installed at the teeth tip of the stator, themagnetization in one of four poles could be detected by theeven harmonics and subharmonics of the flux density. Thereis no difference between the Fourier components of themotorwith PMs demagnetized in the radial direction and in theaxial direction.

4. Impedance for High-Frequency Injection

A high-frequency signal injection has been widely used forthe position sensorless control of PMSM, and it was alsoused PM temperature estimation [10].This paper investigateshigh-frequency impedance of PMSM for the diagnosis of veryslight PM demagnetization. The impedance was measured

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International Journal of Rotating Machinery 5

Mag

netic

flux

den

sity

(T)

HealthyR-2.5%Z-2.5%

0 90 180 270

−0.5

360

0

0.5

310 315 320

0.48

0.5

0.52

Enlarged

(deg)

Figure 7: Calculated magnetic flux density at the center of the air-gap and axial location (𝑧 = 0).

0

0.1

0.2

0.3

0.4

0.5

0.6

0.92 0.94 0.96 0.98 1

Mag

netic

flux

den

sity

(T)

Ratio of magnet volume

Radial demagnetizationAxial demagnetization

Figure 8: Calculatedmagnetic flux density at the center point of air-gap and axial direction for ratio of PM volume.

when a high-frequency voltage is injected between 𝑢 and𝑤 phases. Here, the motor is not rotating; that is, thereis no fundamental voltage and current. Figures 13 and 14show the measured impedance when the high-frequencyvoltage of 100Hz and 2000Hz is injected. The impedancewas measured at each rotor position. It is found that theeffect of demagnetization strongly appears at the resistanceof 100Hz. In order to show the difference clearly, relativeerrors of 𝑅 and 𝐿 are calculated. Figures 15(a) and 15(b) showthe relative error of 𝐿 when the rotor position is 65 deg.and 20 deg., respectively. Figure 16 shows the relative errorof resistance 𝑅. It is found from Figure 15 that the relativeerror is approximately constant but the value is smaller

than the reduction ratio of PM volume. Figure 16 showsthat the relative error of resistance 𝑅 is larger than thereduction ratio of PM volume in a low frequency region.Therefore, the resistance of low frequency region is useful forthe diagnosis of demagnetization of PM. It is shown fromFigure 16 that the relative error of resistance at 𝑑-axis isgreater than that at 𝑞-axis. Reference [10] showed that thePM temperature of surface PM machine can be estimatedfrom the high-frequency resistance. This paper has clarifiedthat the demagnetization of PMs in interior PM machinecan be estimated from the relatively low frequency resistance.Moreover, it has been clarified that the resistance at the 𝑑-axisposition is better than that at the 𝑞-axis position.

5. Stator Voltage and Current underVector Control

One of the authors proposed a simulation model usingMATLAB/Simulink as shown in Figure 17 [12]. The modelis a typical block diagram for the vector-controlled PMSMsystem. In this diagram, two control loops are used; one isan inner loop to regulate the stator currents by convertingto the 𝑑- and 𝑞-axes with the rotor position, and the otheris an outer loop to control the motor speed. The PWMvoltage is generated by comparing the voltage referenceand a truncated triangular carrier waveform as shown inFigure 17(b). In this block, the stator voltage drop is takeninto account by considering an input voltage drop Δ𝑉dc andan inverter voltage drop. Figure 18 shows the measured inputvoltage drop Δ𝑉dc. This voltage drop can be represented bya linear equation and is represented by a block Vdc dropas shown in Figure 17(c). It is well known that the forward

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6 International Journal of Rotating Machinery

z (mm)−40 −20 0 20

040

0.1

0.2

0.3

0.4

0.5

0.6

35 40 45

0.48

0.5

0.52

Enlarged

HealthyR-2.5%Z-2.5%

Mag

netic

flux

den

sity

(T)

Figure 9: Calculated flux density at the center of the air-gap and 𝜃 = 315∘.

0

0.1

0.2

0.3

0.4

0.5

0.6

0.92 0.94 0.96 0.98 1

Mag

netic

flux

den

sity

(T)

Ratio of magnet volume

Radial demagnetizationAxial demagnetization

Figure 10: Calculated magnetic flux density at the center point ofair-gap and 𝜃 = 315∘ for ratio of PM volume.

characteristics of the IGBT and diode are nonlinear and varywith temperature. In order to simplify the analysis, this paperassumes that the v-i characteristics of the IGBT and diode arerepresented by constant forward voltage drops, v Tr and v D,respectively, and resistance, r Tr and r D, respectively. Theinverter situations with positive current and negative currentare shown in Figure 19. The letter 𝑠 denotes a switchingfunction for the transistor. When 𝑠 = 1, the gate signal ofthe upper transistor is turned on, and when 𝑠 = 0, the gatesignal of the lower transistor is turned on. When 𝑠 = 1 andthe stator current is positive, the upper transistor is turnedon, and then output voltage is shifted down by v Tr + i∗r Tras shown in case 1. Similarly, when the current is negative,

−0.6

−0.4

−0.2

0

0.2

0.4

0.6

0 0.01 0.02 0.03 0.04

Mag

netic

flux

den

sity

(T)

Time (sec)

HealthyR-2.5%Z-2.5%

Figure 11: Calculated magnetic flux density waveform at the statorteeth tip.

output voltage is shifted up by v D + i∗r D as shown in case3. Four cases shown in Figure 19 can be represented by ablock shown in Figure 17(d). In the simulation block, theIPMSM is modeled in terms of the stator resistance, 𝑑 and𝑞 inductances 𝐿𝑑 and 𝐿𝑞, and the flux linkage. In order toevaluate the effect of demagnetization of the PM, the value ofthe flux linkage is reduced in the simulation. On the contrary,the stator resistance is fixed, and the inductances 𝐿𝑑 and 𝐿𝑞 ofthe demagnetized motor are assumed to be the same as thoseof a healthymotor, because the difference of inductances fromthose of healthy machine is very small as shown in Figures14 and 15. There is no three-phase imbalance of EMF and

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International Journal of Rotating Machinery 7

0.00001

0.0001

0.001

0.01

0.1

1

0 200 400 600 800 1000

Mag

netic

flux

den

sity

(T)

Frequency (Hz)

(a) Healthy

0.00001

0.0001

0.001

0.01

0.1

1

0 200 400 600 800 1000

Mag

netic

flux

den

sity

(T)

Frequency (Hz)

(b) Radial demagnetization

0.00001

0.0001

0.001

0.01

0.1

1

0 200 400 600 800 1000

Mag

netic

flux

den

sity

(T)

Frequency (Hz)

(c) Axial demagnetization

Figure 12: Fourier analysis of the magnetic flux density at the stator teeth tip.

0

10

20

30

40

50

60

0 20 40 60 80 100

Indu

ctan

ce (m

H)

Rotor position (deg)

HealthyR-2.5%

R-5.0%R-7.5%

(a) Inductance

00.5

11.5

22.5

33.5

0 20 40 60 80 100Rotor position (deg)

Resis

tanc

e (Ω

)

HealthyR-2.5%

R-5.0%R-7.5%

(b) Resistance

Figure 13: Measured impedance between 𝑢 and 𝑤 terminal at 100Hz.

inductances caused by one-pole demagnetization, becausethe stator windings are connected in series. Although thesmall vibration and acoustic noise may be produced, thispaper assumes they are negligible.

Figure 20(a) shows the fundamental component of thestator current with radial demagnetization. It is shown thatthe stator current is approximately proportional to the loadtorque and that the differences due to demagnetization arevery small when the load torque is small, and they become

large when the load torque becomes large. Figure 20(b) showsthe 𝑑- and 𝑞-axis currents 𝑖𝑑 and 𝑖𝑞. As 𝑖𝑑 is controlled to be 0,the characteristic of 𝑖𝑞 is equal to the stator current shown inFigure 20(a). Figure 20(c) shows the fundamental componentof the stator voltage. It is found that there is a differencedue to demagnetization. When the load torque is small, thestator voltage of the motor demagnetized by 7.5% has thelowest value and that of the healthy motor has the highestvalue. In contrast, when the load torque is large, the stator

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8 International Journal of Rotating Machinery

10

20

30

40

50

60

0 20 40 60 80 100

Indu

ctan

ce (m

H)

Rotor position (deg)

HealthyR-2.5%

R-5.0%R-7.5%

0

(a) Inductance

05

1015202530354045

0 20 40 60 80 100Rotor position (deg)

HealthyR-2.5%

R-5.0%R-7.5%

Resis

tanc

e (Ω

)

(b) Resistance

Figure 14: Measured impedance between 𝑢 and 𝑤 terminal at 2000Hz.

00.20.40.60.8

11.21.41.61.8

0 500 1000 1500 2000 2500Frequency (Hz)

Rela

tive e

rror

ofL

d(%

)

HealthyR-2.5%

R-5.0%R-7.5%

(a) At 𝑑-axis

0

0.5

1

1.5

2

0 500 1000 1500 2000 2500Frequency (Hz)

HealthyR-2.5%

R-5.0%R-7.5%

Rela

tive e

rror

ofL

q(%

)

(b) At 𝑞-axis

Figure 15: Relative error of measured inductance.

0

5

10

15

20

25

30

0 500 1000 1500 2000 2500Frequency (Hz)

HealthyR-2.5%

R-5.0%R-7.5%

Rela

tive e

rror

ofR

d(%

)

(a) At 𝑑-axis

02468

1012141618

0 500 1000 1500 2000 2500Frequency (Hz)

HealthyR-2.5%

R-5.0%R-7.5%

Relat

ive e

rror

ofR

q(%

)

(b) At 𝑞-axis

Figure 16: Relative error of measured resistance.

voltage of the motor demagnetized by 7.5% has the highestvalue. The stator voltage and current of the motor with axialdemagnetization are the same as those shown in Figure 20.

Experimental conditions are 0%, 10%, 20%, and 30% ofrated torque and a speed of 1500min−1. Figure 21 showsthe fundamental component of the stator current and stator

voltage of the IPMSM with radial demagnetization. Thefundamental component of the stator current becomes largewhen the load torque becomes large. When the load torqueis small, the stator voltage of the motor demagnetized by7.5% has the lowest value and that of the healthy motorhas the highest value. In contrast, when the load torque

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International Journal of Rotating Machinery 9

t

Clock To Workspace

0

id_ref

wm_ref

PI withlimitter

p

p

Ki

Ki

P for id

P for iq

id we

x1

x2

iq

id

iq

cos cos

cos

cos, sin_2sin sin

sin

i_u w

theta

is_ac

is_ac

is_abc

is_abc

is_abc

is_qdis_qdwmmm

A

Tm

wm

TeTe

is_abcid

iq

decoupling_2

Step Step 1

thetamthetam

To Workspace 1PM

PWM inv. 2

B

C

NS

va vavaref

vbref

vd_refvu_ref

vv_ref

vw_ref

vq_ref

vcref

vb

vb

va2

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dq2uvw

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+ +

++

+−+−

+−+−

(a) Whole system

is_abc

is_abc

idc

idc_calcPWM

1

2

3

varef

vbref

vcref

4

Relay 2

Relay 1

Relay

+

+

+−

++

++

− −

−−

signal

signal

vab

va

vb

vcvbc

1

2

3

Va

Vb

Vc

Subsystem 1

Subsystem 2

Subsystem 3

v_on, offv

iidc

v_on, offv

v

i

i

idc

v_on, offidc

(b) Subsystem for PWM inv in (a)

Vdc

Vdc

v_on, off

v_on, offv_drop

v

i

i

+−

+−

×

Product

idciq

func

Subsystem

dV

11

2

3

(c) Subsystem for va, vb, and vc in (b)

v_Tr

V_Tr

V_D

v_D

r_Tr

R_Tr

R_D

r_D

v_on, off

v_dropi++

Product 1Product 2

Product 3

1

2

Sign

××

×

Switch

Switch 1

1

(d) Subsystem voltage drop in (c)

Figure 17: Block diagram for a brushless DC motor controlled using the vector control strategy.

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10 International Journal of Rotating Machinery

0 0.5 1 1.5 2 2.5 3

−8

−6

−4

−2

0

ΔV>=

(V)

I>= (A)

Figure 18: DC voltage drop across the inverter.

V>=/2

V>=/2

Case 4: s = 0, i < 0Case 3: s = 1, i < 0

Case 2: s = 0, i > 0

V>=/2

V>=/2

V>=/2

V>=/2

V>=/2

V>=/2

Case 1: s = 1, i > 0

Figure 19: Analysis of the output voltage of a phase inverter leg.

is large, the stator voltage of the motor demagnetized by7.5% has the highest value. These results are approximatelythe same as those shown in Figure 20. The measured statorvoltage and current of the motor with axial demagnetizationwere also approximately the same as the simulation resultsshown in Figure 20. We think that the differences betweenthe simulation results and the measured ones are due tothe following assumptions. The simulation block diagramshown in Figure 17 uses permanent magnet synchronousmachine model PM provided in SimPowerSystem toolboxof MATLAB/Simulink. Therefore the space harmonics areignored in this mode. Although the actual inductances

𝐿𝑑 and 𝐿𝑞 change according to the value of stator cur-rent, they are assumed to be constant. However, sincethe simulation results are approximately same as the mea-sured ones, the simulation results have been experimentallyverified.

Here, we will discuss these characteristics. When 𝑖𝑑 iscontrolled to be 0, the voltage and torque equations areexpressed by

V𝑑 = −𝜔𝐿𝑞𝑖𝑞, (1)

V𝑞 = (𝑅 + 𝑃𝐿𝑞) 𝑖𝑞 + 𝜔𝜙, (2)

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International Journal of Rotating Machinery 11

HealthyR-2.5%

R-5.0%R-7.5%

Curr

ent (

A)

00 0.5 1 1.5 2 2.5 3 3.5 4

1

2

3

4

5

6

7

Load torque (N·m)

(a) Fundamental component of the stator current

0

2

4

6

8

10

12

HealthyR-2.5%

R-5.0%R-7.5%

0 0.5 1 1.5 2 2.5 3 3.5 4Load torque (N·m)

i d,i

q(A

)

id

iq

(b) Stator currents 𝑖𝑑, 𝑖𝑞

Stat

or v

olta

ge (V

)

60

70

80

90

100

110

120

130

HealthyR-2.5%

R-5.0%R-7.5%

0 0.5 1 1.5 2 2.5 3 3.5 4Load torque (N·m)

(c) Fundamental component of the stator voltage

Figure 20: Simulated results using vector control.

𝑇 = 𝑝𝜙𝑖𝑞, (3)

where V𝑑, V𝑞, 𝜔, 𝜙, 𝑃, and 𝑝 are 𝑑-axis voltage, 𝑞-axis voltage,angular velocity, flux linkage, differential operator, and polepairs, respectively. From (3), as 𝑖𝑞 is inversely proportional toflux linkage 𝜙, 𝑖𝑞 of the demagnetized motor is large whenthe load torque is large, as shown in Figure 20(a). And theflux linkage is proportional to the magnet volume, that is,demagnetization situation. Therefore, the demagnetizationof PM can be estimated by the stator current under vectorcontrol with 𝑖𝑑 = 0. Note that a variation of the statorresistance due to stator temperature variation produces thesame effect.

From (1) and (2), V𝑞 is proportional to𝜔𝜙 and V𝑑 becomes0, when the load torque is small; that is, 𝑖𝑞 is small. In contrast,when the load torque becomes large, that is, 𝑖𝑞 becomes large,V𝑞 is affected by 𝑖𝑞 as shown in (2). As a result, the statorvoltage of the demagnetized motor becomes large, as shownin Figure 20(c). The torque at the intersection point is drivenas

𝑇 =𝑝𝜔ΦhealthyΦfaulty√𝜔2𝐿𝑞2 + 𝑅2

, (4)

where Φhealthy and Φfaulty are the flux linkages of healthymotor and demagnetized motor, respectively. Here it isassumed that𝑅 and𝐿𝑞 donot change by the demagnetization.Therefore, since V𝑞 is proportional to 𝜔𝜙 when 𝑖𝑞 = 0 at noload, the stator voltage at no load is useful for the diagnosisof demagnetization.

6. Conclusions

This paper has investigated the diagnosis of very slight PMdemagnetization by both simulations and experiments. Thereduction of the flux linkage, that is, back-EMF of the motorwith demagnetized PMs, is equal to the reduction of PMvolume, and there is no difference in the demagnetizationin the radial direction and in the axial direction. Magneticflux density at the teeth tip of the motor with demagnetizedPMs includes even harmonics and subharmonics as well as

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12 International Journal of Rotating Machinery

HealthyR-2.5%

R-5.0%R-7.5%

Curr

ent (

A)

00 0.5 1 1.5 2 2.5 3 3.5 4

1

2

3

4

5

6

7

Load torque (N·m)

(a) Fundamental component of the stator current

0

2

4

6

8

10

12

HealthyR-2.5%

R-5.0%R-7.5%

0 0.5 1 1.5 2 2.5 3 3.5 4Load torque (N·m)

i d,i

q(A

)

id

iq

(b) Stator currents 𝑖𝑑, 𝑖𝑞

Stat

or v

olta

ge (V

)

60

70

80

90

100

110

120

130

HealthyR-2.5%

R-5.0%R-7.5%

0 0.5 1 1.5 2 2.5 3 3.5 4Load torque (N·m)

(c) Fundamental component of the stator voltage

Figure 21: Measurement results under vector control.

the fundamental and odds harmonics. The demagnetizationof PMs in interior PM machine can be estimated from therelatively low frequency resistance, and the resistance at the𝑑-axis position is better than that at the 𝑞-axis position fordiagnosis. Under vector control, the stator voltage is usefulexcept in an intermediate torque range, and the intermediatetorque is expressed by a simple equation.

Conflicts of Interest

The authors declare that there are no conflicts of interestregarding the publication of this paper.

References

[1] J.-C.Urresty, J.-R. Riba,M.Delgado, andL. Romeral, “Detectionof demagnetization faults in surface-mounted permanent mag-net synchronous motors by means of the zero-sequence voltagecomponent,” IEEE Transactions on Energy Conversion, vol. 27,no. 1, pp. 42–51, 2012.

[2] S. Rajagopalan, R. W. Le, T. G. Habetler, and R. G. Harley,“Diagnosis of potential rotor faults in brushless DC machines,”in Proceedings of the Second IEE International Conference onPower Electronics, Machines and Drives, vol. 2, pp. 668–673,Edinburgh, UK, 2004.

[3] A. G. Espinosa, J. A. Rosero, J. Cusido, L. Romeral, and J. A.Ortega, “Fault detection by means of Hilbert-Huang transformof the stator current in a PMSM with demagnetization,” IEEETransactions on Energy Conversion, vol. 25, no. 2, pp. 312–318,2010.

[4] M. D. Prieto, A. G. Espinosa, J.-R. Riba Ruiz, J. C. Urresty,and J. A. Ortega, “Feature Extraction of demagnetization faultsin permanent-magnet synchronous motors based on box-counting fractal dimension,” IEEE Transactions on IndustrialElectronics, vol. 58, no. 5, pp. 1594–1605, 2011.

[5] J.-C. Urresty, J.-R. Riba, and L. Romeral, “A back-emf basedmethod to detectmagnet failures in PMSMs,” IEEETransactionson Magnetics, vol. 49, no. 1, pp. 591–598, 2013.

[6] K. Liu and Z. Q. Zhu, “Online estimation of the rotor fluxlinkage and voltage-source inverter nonlinearity in permanent

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International Journal of Rotating Machinery 13

magnet synchronous machine drives,” IEEE Transactions onPower Electronics, vol. 29, no. 1, pp. 418–427, 2014.

[7] O. Wallscheid, T. Huber, W. Peters, and J. Bocker, “Real-time capable methods to determine the magnet temperatureof permanent magnet synchronous motors - A review,” inProceedings of the Industrial Electronics Society, IECON 2014 -40th Annual Conference of the IEEE, pp. 811–818, Dallas, Tex,USA, November 2014.

[8] A. Specht, O.Wallscheid, and J. Bocker, “Determination of rotortemperature for an interior permanent magnet synchronousmachine using a precise flux observer,” in Proceedings of the 7thInternational Power Electronics Conference, IPEC-Hiroshima -ECCE Asia 2014, pp. 1501–1507, Hiroshima, Japan, May 2014.

[9] M. Ganchev, C. Kral, H. Oberguggenberger, and T. Wolbank,“Sensorless rotor temperature estimation of permanent magnetsynchronous motor,” in Proceedings of the 37th Annual Confer-ence of the IEEE Industrial Electronics Society, IECON 2011, pp.2018–2023, Melbourne, VIC, Australia, November 2011.

[10] D. D. Reigosa, F. Briz, P. Garcıa, J. M. Guerrero, andM.W. Deg-ner, “Magnet temperature estimation in surface PM machinesusing high-frequency signal injection,” IEEE Transactions onIndustry Applications, vol. 46, no. 4, pp. 1468–1475, 2010.

[11] S. Shinagawa, T. Ishikawa, and N. Kurita, “Characteristics ofinterior permanent magnet synchronous motor with imperfectmagnets,” in Proceedings of the 7th International Power Electron-ics Conference, IPEC-Hiroshima - ECCE Asia 2014, pp. 252–257,Hiroshima, Japan, May 2014.

[12] T. Ishikawa, T. Iida, and M. Matsunami, “Analysis of BrushlessDCMotor by Simulink and FEMConsideringDCVoltageDropand Inverter Properties,” Journal of the Japan Society of AppliedElectromagnetics and Mechanics, vol. 17, pp. 77–80, 2009.

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