Published in: Proceedings of The 34th Annual Conference of IEEE Industrial Electronics, IECON 2008

Similar documents
Experimental Determination of Mechanical Parameters in Sensorless Vector-Controlled Induction Motor Drive

An inductance lookup table application for analysis of reluctance stepper motor model

Dynamics of the synchronous machine

Vehicle Stability Improvement Based on Electronic Differential Using Sliding Mode Control

Position Sensorless Control for an Interior Permanent Magnet Synchronous Motor SVM Drive with ANN Based Stator Flux Estimator

Lecture 6: Control of Three-Phase Inverters

Chapter 6. Electromagnetic Oscillations and Alternating Current

Simple Electromagnetic Motor Model for Torsional Analysis of Variable Speed Drives with an Induction Motor

DYNAMIC PERFORMANCE OF RELUCTANCE SYNCHRONOUS MACHINES

Harmonic Modelling of Thyristor Bridges using a Simplified Time Domain Method

IPMSM Inductances Calculation Using FEA

Impact of DFIG based Wind Energy Conversion System on Fault Studies and Power Swings

Modelling of Three Phase Short Circuit and Measuring Parameters of a Turbo Generator for Improved Performance

Consideration on new theoretical solutions of special electric machines using specialized soft of electromagnetic field numerical analysis

Design A Robust Power System Stabilizer on SMIB Using Lyapunov Theory

Design and Application of Fault Current Limiter in Iran Power System Utility

Performance Evaluation of Synchronous Reluctance Motors With and Without Permanent Magnets

A Comparison between a Conventional Power System Stabilizer (PSS) and Novel PSS Based on Feedback Linearization Technique

The Efficiency Optimization of Permanent Magnet Synchronous Machine DTC for Electric Vehicles Applications Based on Loss Model

CONTROL AND PERFORMANCE OF A NINE PHASE SYNCHRONOUS RELUCTANCE DRIVE

Research Article Development of Digital Control for High Power Permanent-Magnet Synchronous Motor Drives

Modelling of Permanent Magnet Synchronous Motor Incorporating Core-loss

Modeling and analysis of parallel connected permanent magnet synchronous generators in a small hydropower plant

Suppression Method of Rising DC Voltage for the Halt Sequence of an Inverter in the Motor Regeneration

4. CONTROL OF ZERO-SEQUENCE CURRENT IN PARALLEL THREE-PHASE CURRENT-BIDIRECTIONAL CONVERTERS

Estimation of Saturation of Permanent-Magnet Synchronous Motors Through an Energy-Based Model

A Novel Decoupled Iterative Method for Deep-Submicron MOSFET RF Circuit Simulation

6. Friction and viscosity in gasses

Homework 7 Due 18 November at 6:00 pm

State Space Analysis of Power System Stability Enhancement with Used the STATCOM

A Simple Model for the Calculation of Plasma Impedance in Atmospheric Radio Frequency Discharges

IMPLICIT FAULT TOLERANT CONTROL: APPLICATION TO INDUCTION MOTORS 1. DEIS, University of Bologna (Italy) viale Risorgimento 2, Bologna

Electric Motor Performance Improvement Using Auxiliary Windings and Capacitance Injection

Open Access An Exponential Reaching Law Sliding Mode Observer for PMSM in Rotating Frame

PREPARATION OF THE NATIONAL MAGNETIC FIELD STANDARD IN CROATIA

Deriving ARX Models for Synchronous Generators

IN most inverter fed electrical drives, asynchronous

State-Space Model for a Multi-Machine System

Table of Common Derivatives By David Abraham

ECE 422 Power System Operations & Planning 7 Transient Stability

Design and Analysis of New Concept Interior Permanent Magnet Synchronous Motor by 3D Finite Element Analysis

Placement and tuning of resonance dampers on footbridges

MATLAB Simulation Research on Permanent Magnet Synchronous Motor Vector Control

'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21

arxiv: v1 [math.ca] 9 Jan 2016

Outcome of this lecture

Multi-Level Library of Electrical Machines for Aerospace Applications

THE SPEED CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR USING FUZZY LOGIC AND SELF TUNING FUZZY PI CONTROLLER

Experimental determination of mechanical parameters in sensorless vector-controlled induction motor drive

DIRECT TORQUE AND FLUX CONTROL OF ASYMMETRICAL SIX-PHASE INDUCTION MOTOR WITH ZERO SEQUENCE COMPONENTS ELIMINATION

MEASUREMENT OF LOSSES IN DIRECT TORQUE CONTROLLED PERMANENT MAGNET SYNCHRONOUS MOTOR BY ANALYSIS AND EXPERIMENTAL SETUP

Unit vectors with non-negative inner products

CHARACTERISTICS OF A DYNAMIC PRESSURE GENERATOR BASED ON LOUDSPEAKERS. Jože Kutin *, Ivan Bajsić

Time-of-Arrival Estimation in Non-Line-Of-Sight Environments

Step Motor Modeling. Step Motor Modeling K. Craig 1

Finite element analysis of electromagnetic bulging of sheet metals

Transmission Line Matrix (TLM) network analogues of reversible trapping processes Part B: scaling and consistency

Investigation of local load effect on damping characteristics of synchronous generator using transfer-function block-diagram model

Unknown input observer based scheme for detecting faults in a wind turbine converter Odgaard, Peter Fogh; Stoustrup, Jakob

LQG FLUTTER CONTROL OF WIND TUNNEL MODEL USING PIEZO-CERAMIC ACTUATOR

Journal of Chemical and Pharmaceutical Research, 2014, 6(2): Research Article

Chapter 9 Method of Weighted Residuals

Simulink model for examining dynamic interactions involving electro-mechanical oscillations in distribution systems

Doubly salient reluctance machine or, as it is also called, switched reluctance machine. [Pyrhönen et al 2008]

ELECTRON DIFFRACTION

The Effects of Mutual Coupling and Transformer Connection Type on Frequency Response of Unbalanced Three Phase Electrical Distribution System

Dynamic Modeling and Analysis of Large-scale Power Systems in the DQ0 Reference Frame

A-level PHYSICS A PHYA4/1. Unit 4 Fields and Further Mechanics. Section A. Monday 20 June 2016 Morning

arxiv: v1 [hep-ex] 4 Sep 2018 Simone Ragoni, for the ALICE Collaboration

inflow outflow Part I. Regular tasks for MAE598/494 Task 1

MULTI-SLICE FINITE ELEMENT MODELLING OF INDUCTION MOTORS CONSIDERING BROKEN BARS AND INTER-BAR CURRENTS

Maxwell s Equations 5/9/2016. EELE 3332 Electromagnetic II Chapter 9. Maxwell s Equations for static fields. Review Electrostatics and Magnetostatics

Guangjin Li, Javier Ojeda, Emmanuel Hoang, Mohamed Gabsi, Cederic Balpe. To cite this version:

Predictive control of synchronous generator: a multiciterial optimization approach

OF CHS. associated. indicate. the need. Rio de Janeiro, Brazil. a) Footbridge Rio. d) Maria Lenk. CHS K joints

ANALYSIS AND DETERMINATION OF SYMMETRICAL THREE- PHASE WINDINGS WITH FOCUS ON TOOTH COIL WINDINGS

Direct Flux Vector Control Of Induction Motor Drives With Maximum Efficiency Per Torque

New Simple Controller Tuning Rules for Integrating and Stable or Unstable First Order plus Dead-Time Processes

This is a repository copy of Influence of skew and cross-coupling on flux-weakening performance of permanent-magnet brushless AC machines.

Determine Power Transfer Limits of An SMIB System through Linear System Analysis with Nonlinear Simulation Validation

The Levitation Controller Design of an Electromagnetic Suspension Vehicle using Gain Scheduled Control

SYNCHRONOUS SEQUENTIAL CIRCUITS

Chapter 31: RLC Circuits. PHY2049: Chapter 31 1

Motion-Copying System Using FPGA-based Friction-Free Disturbance Observer

AN APPROACH TO DAMAGE DETECTION IN A BEAM LIKE STRUCTURES FROM EXPERIMENTALLY MEASURED FRF DATA

Time-Optimal Motion Control of Piezoelectric Actuator: STM Application

PCCP PAPER. 1 Introduction. A. Nenning,* A. K. Opitz, T. M. Huber and J. Fleig. View Article Online View Journal View Issue

PERMANENT MAGNETS CHAPTER MAGNETIC POLES AND BAR MAGNETS

Sensorless Control for High-Speed BLDC Motors With Low Inductance and Nonideal Back EMF

A Modification of the Jarque-Bera Test. for Normality

Analysis of Idle Power and Iron Loss Reduction in an Interior PM Automotive Alternator

Design and Implementation of a New Sliding-Mode Observer for Speed-Sensorless Control of Induction Machine

An Off-line Maximum Torque Control Strategy of Wound Rotor Synchronous Machine with Nonlinear Parameters

UNIFYING PCA AND MULTISCALE APPROACHES TO FAULT DETECTION AND ISOLATION

Predictive Control of a Laboratory Time Delay Process Experiment

A Quantitative Analysis of Coupling for a WPT System Including Dielectric/Magnetic Materials

Heat-And-Mass Transfer Relationship to Determine Shear Stress in Tubular Membrane Systems Ratkovich, Nicolas Rios; Nopens, Ingmar

Design Optimization of an Electric Variable Transmission for Hybrid Electric Vehicles

A New Approach in Analytical Analysis of Eddy Currents in Laminated Core

Optimum design of tuned mass damper systems for seismic structures

Transcription:

Aalborg Universitet Fault etection of a Five-Phase Permanent-Magnet Machine Bianchini, Clauio; Matzen, Torben.; Bianchi, icola; Fornasiero, Emanuele; Bellini, Alberto Publishe in: Proceeings of The 34th Annual Conference of IEEE Inustrial Electronics, 28. IECO 28 DOI (link to publication from Publisher): 1.119/IECO.28.4758125 Publication ate: 28 Document Version Publisher's PDF, also known as Version of recor Link to publication from Aalborg University Citation for publishe version (APA): Bianchini, C., Matzen, T.., Bianchi,., Fornasiero, E., & Bellini, A. (28). Fault etection of a Five-Phase Permanent-Magnet Machine. In Proceeings of The 34th Annual Conference of IEEE Inustrial Electronics, 28. IECO 28 (pp. 12-125). IEEE. https://oi.org/1.119/ieco.28.4758125 General rights Copyright an moral rights for the publications mae accessible in the public portal are retaine by the authors an/or other copyright owners an it is a conition of accessing publications that users recognise an abie by the legal requirements associate with these rights.? Users may ownloa an print one copy of any publication from the public portal for the purpose of private stuy or research.? You may not further istribute the material or use it for any profit-making activity or commercial gain? You may freely istribute the URL ientifying the publication in the public portal? Take own policy If you believe that this ocument breaches copyright please contact us at vbn@aub.aau.k proviing etails, an we will remove access to the work immeiately an investigate your claim. Downloae from vbn.aau.k on: ecember 28, 218

Fault etection of a Five-Phase Permanent-Magnet Machine Clauio Bianchini 1, Emanuele Fornasiero 2, Torben. Matzen 3, icola Bianchi 2, Alberto Bellini 1 1 DISMI - University of Moena an Reggio Emilia, Italy 2 DIE - University of Paova, Italy 3 IET - Aalborg University, Denmark I. ABSTRACT The paper focuses on the fault etection of a five-phase Permanent-Magnet (PM) machine. This machine has been esigne for fault tolerant applications, an it is characterise by a mutual inuctance equal to zero an a high self inuctance, with the purpose to limit the short circuit current. The effects of a limite number of short-circuite turns were investigate by theoretical an Finite Element (FE) analysis, an then a proceure for fault etection has been propose, focusing on the severity of the fault (i.e. the number of shortcircuite turns an the relate current). II. ITRODUCTIO The employment of multiphase machines (phase number greater than 3) fe by multiphase converters can introuce an improvement in the area of meium to high power size rives as they are characterise by a better efficiency, torque/weight an torque/volume ratio compare to three phase machines. With same voltage an power, the increase of the number of phases implies a reuction in the current per phase, thus the thermal stress on the power semiconuctors is inversely proportional to the number of phases. Hence high voltages IGBT can be use with higher switching frequency without parallelisation techniques. Fault-tolerant capability of electrical rives is an essential feature in applications such as automotive [1], aeronautic [2], an many others, where continuous operation is a manatory option. Although less stringent, fault tolerance is a positive feature also in the inustrial environment, ue to the relate prouctivity enhancement. A five-phase PM machine exhibits a high fault-tolerant capability [3], as it can be esigne to reuce the fault occurrence as well as to operate inefinitely in the presence of faults [4]. The egrees of freeom of a multiphase machine can be use to enhance the reliability of the rive, provie that electrical an mechanical fault iagnosis techniques are available. This reunancy might be use for iagnostic purposes. In fact a multiphase machine can continue to operate in case of a phase loss, with a suitable change of power supply, resulting in a reuce torque, but keeping control capabilities. Diagnosis techniques for three phase electric machine have been extensively stuie in the last years with the purpose of etecting the fault at an early state an of compensating its negative effects uring scheule maintenance in orer to avoi unnecessary costs [5], [6]. A fault causes asymmetry in the machine, i.e. it prouces an electrical signal signature that can be etecte by non-invasive techniques base on time omain analysis, frequency analysis an time-frequency analysis. The most common technique, usually referre to as Motor Current Signature Analysis (MCSA), is base on the analysis of the harmonic spectrum of the stator current. It contains information (signature) univocally relate to the presence of electrical an mechanical faults [7] an permit a quantitative analysis of faults [8]. The faults of multiphase machines are similar to those of three-phase machines, they can be grossly classifie into mechanical (bearing failure), or electrical. The main electrical failures of a multiphase rive are Phase winings short-circuit Power switch open-circuit fault Phase open-circuit fault Some scientific papers have investigate the effects of faults in multiphase inverter, the methos of bypassing the faulte components an the compensation techniques to increase the reliability of the rive [9], [1], [11], [12]. However a general approach an a systematic analysis of fault effects an compensation is still not available. This paper proposes a novel fault etection metho for a five-phase PM machine, that is capable of an early etection of open an short circuit faults in a rive with current regulation. The avantages of the propose metho are that it is online an non-invasive an provies alert signals at an early stage. In fact it oes not require any eicate sensor for the fault etection. Moreover a iagnostic inex is propose that provies quantitative information about fault severity an the capability of ientifying the faulty phase in terms of electrical angle. The main rawbacks are that a in case of rives fe by PWM power converters a suitable processing is require to obtain supply voltages an that the measurements of all the phase voltages are require. Moreover the fault etection of this peculiar type of multiphase machine is an har task. Specifically short circuit faults are ifficult to etect, as the short current is limite by the wining resistance, the istortion of the flux is limite, an the asymmetry is very small in case of a low number of shorte turns. The structure of the paper is as follows, at first a moel of the faulty machine is introuce base on the equivalent

transformer moel. Then the accurate FE moelling of the machine is escribe, where FE results are use to compute the PM flux linkage in a faulty phase. Eventually the influence of the faults on machine electric quantities is investigate an a fault etection proceure is propose an valiate by simulation an experiments. III. MODELLIG OF FIVE-PHASE PM MACHIES A five-phase PM machine is use to valiate the propose fault etection metho. The machine features 2 stator slots an 9 magnetic pair poles without skewing. The stator turns are woun aroun the teeth with a single layer, [13]. Each phase has a total number of turns = 692. Fig. 1. Single layer wining istribution. Stator phases are woun with a sequence a, b, c, e, f, a, b, c, e, f an each of them occupies four slots. Each phase is fe by a eicate H-brige converter, Fig. 2. Rate spee an phase current are respectively 333 rpm an I M = 1.2 A. The photos of the five-phase machine stator an rotor are reporte in Fig. 3. Fig. 3. Photo of the stator (left) an rotor (right) of the the five-phase PM machine. with k=, 1,..., 4. λ mk (t) is obtaine from FE computations. Eventually the phase current is expresse by ( i k (t) = I M sin θ + 2 k π ) (3) 5 A current controlle multi-phase rive is use, where symmetrical sinusoial currents are force. Specifically each phase current is inepenently regulate by a hysteresis control that rives the H-brige switches, Fig. 2. IV. MODELLIG A PARTIAL COIL SHORT CIRCUIT FAULT The fault moele is the partial short circuit of a coil, where a part of the turns in a coil is short-circuite ue to eterioration of the insulation. Uner these conitions the faulty phase can be moele aing a short-circuite ummy wining mutually couple to the remaining healthy part of the phase [15]. The moel of a healthy phase is escribe by v = Ri + L i t + λ pm, (4) t where v an i is the phase voltage an current, an the healthy phase parameters are: resistance R, inuctance L an the PM flux linkage λ pm. The partial short circuit is characterise by n, the number of short-circuite turns, where is the total number of turns of the phase. The electrical moel of the fault is shown in Fig. 4. For the ummy wining a linear relationship is assume i R 1 Fig. 2. Schematic representation of a phase of the PM machine. The special esign of Fig. 1 is characterise by a mutual coupling between phases equal to zero, even in the presence of iron saturation [14]. Hence each phase can be moele inepenently. The phase voltage can be expresse by v k (t) = e k (t) + R i k (t) + L i k(t) t the back emf is expresse by e k (t) = λ mk(t) t (1) (2) Fig. 4. fault. Short circuit + v i 2 t (λ pm,1) R 2 t (λ pm,2) L 1 L 2 M Turns: n Turns: n Phase moel of the five-phase PM machine in case of shorte turns between the number of shorte turns n an the resistance

an PM flux linkage, an a quaratic relationship between the number of shorte turns an the inuctance. The electrical parameters for the two winings in Fig. 4 can be expresse as R 1 L 1 λ pm,1 = R n ( = L n = λ pm n R 2 = R n ) 2 ( n L 2 = L (5) ) 2 (6) λ pm,2 = λ pm n. (7) It is assume that no leakage flux is present between the two parts of the coil, so that the mutual inuctance is M = L 1 L 2. Applying the equivalent transformer moel the reuce electrical circuit for the phase can be foun. The equivalent transformer moel is reporte in Fig. 5. + v Fig. 5. i R 1 R 2 t (λ pm,1) L 1 t (λ pm,2) Equivalent moel uner fault conitions. The magnetising inuctance of the moel is equal to the primary inuctance L 1 uner the assumption that no leakage flux is present. The resistance an PM flux linkage on the seconary sie (short-circuite part) referre to the primary sie are R 2 ( n)2 = R (8) n λ n pm,2 = λ pm. (9) A. Fault Influence From the equivalent moel it is possible to establish the parameters variation ue to a fault. The equivalent phase impeance Z eq = R eq + sl eq normalise with respect to the healthy resistance is reporte in Fig. 6 as boe iagrams. Magnitue [B] Phase [ ] 5 4 3 2 1 12 9 6 3 1 1 1 2 1 3 1 4 n=2 n=4 n=3 n=5 n= n=1 n= 1 1 1 2 1 3 1 4 Frequency [Hz] Fig. 6. Boe iagram of the phase impeance Zeq R. n=1 n=3 n=5 For frequencies ω R nl the phase impeance becomes ominantly resistive. For frequencies below, the impeance change are more attenuate. n Hence the etection of a small short circuit e.g. < 5% at low frequencies may be ifficult, as the electrical charateristic of the phase oes not change significantly. Using a high frequency signal (i.e. a frequency above R nl ) is it possible to etect small short circuit faults because the phase impeance angle changes significantly as observe in Fig. 6. n=2 n=4 V. FE MODELLIG OF THE FIVE-PHASE PM MACHIE Fluxes are obtaine from a two imensional Finite Element (FE) analysis [16], neglecting the en wining effects. A cross section of the machine is shown in Fig. 7. The moel of Fig. 5 can be rearrange by means of the Thevenin theorem. With simple computations the equivalent Thevenin parameters for a phase uner fault are obtaine: R eq (ω) = R n 1 + ω 2 L2 n R 2 1 + ω 2( ) nl 2 (1) R ( n ) 2 1 L eq (ω) = L ( ) 2 (11) 1 + ω 2 nl R n λ pm,eq (s) = λ pm 1 1 + nl R s (12) R nl For frequencies ω the resistance an PM flux linkage ecreases linearly an the inuctance quaratic with the number of short circuite turns n. Fig. 7. Cross section of the motor an flux plot.. FE simulation computes the magnetic flux linkages of the machine for each phase at no-loa. To this aim a zero wining current is force while the rotor spins with small angular steps δθ up to a polar pitch equal to 36 / p = 4 egrees.

The choice of the angular step δθ is critical. In fact it is inferiorly limite by the resolution of results, an it is upperly limite by the size of the parts of the assembly. In fact a numerical high frequency noise woul be generate if a very small angular step is use. An angular step δθ =.2 mechanical egrees was chosen as an optimal trae-off. A ynamical moel is use for the machine simulation where the back emf are compute from the fluxes obtaine by FE simulations. The lumpe parameters of the machine, i.e. phase inuctance an resistance are obtaine from measurements. The ynamic moel allows to compute phase voltages as a function of the phase current force by the regulators. The spectral analysis of the voltages allows to compute the signatures in case of faulty conitions. FE simulations in case of shorte turns are mae forcing in the slots where shorte turns occur the short circuit current i 2 (see Fig. 4).The value of shorte current is change as a function of rotor position, as the shorte current epen on t (λ pm,2). Simulation parameters are tune so that the harmonics of the shorte current are the same of the back emf, i.e. funamental, 3r an 5th harmonics. VI. DIAGOSTIC IDEX A solily built iagnostic inex shoul give information about occurring faults in the machine, here consiering asymmetry ue to a partial short circuit. The inex shoul not give a false inication on e.g. healthy harmonic components. It is sensible to analyze the influence cause by a partial coil short circuit using stator fixe orthogonal components. Introucing the transformation from phase components to orthogonal components by the matrix p2o The voltage space vector in αβ system is efine as: v a (t) sv αβ = [ a a 1 a 2 a 3 a 4] v b (t) v c (t) (16) v (t) v e (t) while in α 2 β 2 system it is efine as: sv α2β 2 = [ a a 2 a 4 a 6 a 8] v a (t) v b (t) v c (t) v (t) v e (t) where v i (t) are the phase voltage waveforms. VII. SIMULATIO AD EXPERIMETAL RESULTS A. FE results (17) In case of shorte turns the negative sequence component is increase. In case of open circuit the current of the open phase vanishes, hence the current regulation will try to force all the available voltage, i.e. the DC bus voltage. The fault etection proceure shoul simply monitor the voltages in orer to monitor overcomes the average of the current of a suitable threshol. Simulations were mae relying on the proceure escribe in the previous section, that uses ata from FE computations to provie back emf waveforms to the ynamic simulations. Results valiate the use of the spectrum of the five-phase space vector as a reliable iagnostic inex. Re ( a a 1 a 2 a 3 a 4) p2o = 2 Im ( a a 1 a 2 a 3 a 4) 5 Re ( a a 2 a 4 a 6 a 8) Im ( a a 2 a 4 a 6 a 8), (13) 1 2 1 2 1 2 1 2 1 2 where a = e j 2π 5. Then the orthogonal components v {α,β,α2,β 2,} are obtaine from the phase values as [ vα v β v α2 v β2 v ] T = p2o [ v a v b v c v v e ] T, For frequency analysis in αβ an α 2 β 2 space, the following two complex values are efine as v αβ = v α + jv β (14) v α2β 2 = v α2 + jv β2. (15) There are ifferent variations of the transformation in literature, in particular of the secon set [v α2 v β2 ]. Here the secon set is base on ouble incrementation of a similar to [17]. The other variation is where a triple incrementation of a is use instea [18]. The ifference between using ouble or triple incrementation is inversion of the frequency observe in α 2 β 2 i.e. f α2β 2 = f α3β 3. Besies this, the two variations contains the same information, so they are ientical from the frequency analysis point of view. Fig. 8. Spectrum of sv αβ for the five-phase PM machine in case of healthy machine (blue soli line), n/ = 3 % shorte turns (re soli line), in case of n/ = 6 % shorte turns (green soli line) an n/ = 9 % shorte turns (black soli line). Fig. 8 shows the spectrum of the space vector of sv αβ for the five-phase PM machine in case of healthy machine (main part of the figure) an in case of machine with 2, 4 an 6 shorte turns (on the little winow on the upper left sie of the figure, that is the enlargement of the behaviour aroun the frequency f). Being = 692 it turns out that the percentage of shorte turns is of about 3%, 6% an 9% respectively.

that in this case, the component at 3f increases almost proportionally with the number of the shorte turns. Fig. 9. Polar representation of the space vector sv αβ in case of healthy machine (blue, curve (a)), machine with a short circuit (1%) in the phase 1 (green, curve (b)) an with a short circuit (1%) in the phase 4 (re, curve (c)). B. Experimental results Some experimental tests were mae to valiate the equivalent moel. A prototype five-phase machine was mae where 4 turns have been ae in a coil of one phase, 2 woun in a irection an 2 in the other. In this manner 2 little winings have been introuce, an they have been connecte in series with the main phase wining. In this way the short circuit current an the inuce voltages can be measure in only a portion of the wining. The motor have been spinne at various spee, starting from zero up to 6 rpm. Experiments confirm that for a low number of shortcircuite turns, the circuit impeance is mainly resistive. Fig. 11 shows the measure short circuit current in 2 shortcircuite turns an the inuce voltage in the other 2 opene turns, with a rotating spee of 6 rpm (i.e. about 565.5 ra/s). Inuce voltage an current are in phase, in nice agreement with the moel results. Hence with a low number of shorte turns the reactive part of the impeance is negligible. Short circuit current (A pk ) 5.5 5.1.2.3.4.5 Time (s) Back emf (V) Fig. 11. Short circuit current an back emf with a 2 turns fault Fig. 1. Spectrum of sv α2 β 2 for the five-phase PM machine in case of healthy machine (blue soli line), n/ = 3 % shorte turns (re soli line), in case of n/ = 6 % shorte turns (green soli line) an n/ = 9 % shorte turns (black soli line). Results show that the amplitue of the component at f (in Fig. 8 the supply frequency is f = 5 Hz) increases almost proportionally with the number of shorte turns. On the contrary, the amplitue of other components, at ifferent frequencies, yiel no useful informations for a reliable fault etection. Since the variation of the amplitue of the component at f of sv αβ is significant, it can be an efficient quantitative iagnostic inex. Together with the fault etection, this inex can yiels informations about its severity (i.e. the number of short-circuite turns). The ientification of the faulty phase is possible referring to the polar representation of the space vector sv αβ ; this representation is an ellipse that change the position of its axis accoring to the faulty phase, as Fig. 9 highlights (curve (a) refers to healthy machine, curve (b) to a 1% short circuit on phase 1, curve (c) to a 1% short circuit on phase 4). Fig. 1 shows the spectrum of the sv α2β 2. Results show Full-fault short circuit current an voltage were measure at various spee, connecting the two terminal of the phase uner stuy. Fig. 12 shows a nice agreement between the phase equivalent moel an the measure peak current an voltage in this conition. In first part of Fig. 12 the measure back-emf ecreases more than the moel at spees higher than about 45 rpm. This eviation is probably ue to ey currents. In secon part of Fig. 12 the measure I cc ecreases more than the moel. This eviation is probably ue to a little increase of L 1, moving away from the saturation. In fact, with the whole wining short circuite, the inuce current causes a flux that rives own the PM flux. At high spee, i.e. for high ω, the short circuit current behavior is linear accoring to the equation I cc = λ pm /L 1. In Fig. 13 the whole wining short circuit current an the inuce voltage waveforms in the little wining of 2 turns can be observe at 6 rpm. The phase isplacement between them confirms that with a large number of short-circuite turns the inuctance cannot be neglecte. VIII. COCLUSIOS A five-phase PM machine has been esigne for fault tolerant applications. It is characterise by a mutual inuctance

Bemf Short circuit current (A pk ) Short circuit current (A pk ).35.3.25.2.15.1.5 Measure bemf Compute bemf 1 2 3 4 5 6 3.5 3 2.5 2 1.5 1.5 Measure I cc Compute I cc ω (ra/s) 1 2 3 4 5 6 5 Fig. 13. Fig. 12. ω (ra/s) Short circuit current versus rotation spee.2 5.1.2.3.4.4 Time (s) Short circuit current an back emf with a whole wining fault equal to zero an a high self inuctance, in orer to limit the short circuit current. However, with a limite number of shortcircuite turns the current in the short-circuite turns increases with ω an the behavior is almost purely resistive, so that back emf an current are in phase. Only the resistance limits the short circuit current, thus it is manatory to etect quickly the fault in case of a limite number of short-circuite turns. A eicate moel was evelope to investigate the behavior of the machine uner these conitions, an experiments were mae to valiate it. The etection of short circuit faults was investigate relying on the frequency analysis of the phase voltages for a current-controlle rive. Symmetrical components transformation were investigate in orer to seek for the most robust inicator. It is prove that the partial short circuit fault can be efficiently etecte by monitoring the amplitue of the harmonic component of voltage space vector in the αβ an α 2 β 2 space at the frequency f an 3f respectively. The above mentione amplitue can be use to monitor the fault severity, an the faulty phase can be ientifie, relying on the polar representation of the voltage space vector..2 Back emf (V) REFERECES [1] D. Diallo, M. E. H. Benbouzi, an A. Makouf, A fault-tolerant control architecture for inuction motor rives in automotive applications, IEEE Trans. on Vehicular Technology, vol. 53, no. 6, pp. 1847 1855, ov. 24. [2] J. A. Haylock, B. C. Mecrow, A. G. Jack, an D. J. Atkinson, Operation of a fault tolerant PM rive for an aerospace fuel pumpapplication, in Electric Power Applications, IEE Proceeings -, vol. 145, no. 5, Sep. 1998, pp. 441 448. [3] L. Parsa an H. A. Toliyat, Five-phase permanent-magnet motor rives, IEEE Trans. on In. Appl., vol. 41, no. 1, pp. 3 37, Jan./Feb. 25. [4] A. G. Jack, B. C. Mecrow, an J. A. Haylock, A comparative stuy of permanent magnet an switche reluctance motors for high-performance fault-tolerant applications, IEEE Trans. on In. Appl., vol. 32, no. 4, pp. 889 895, Jul./Aug. 1996. [5] M. El Hachemi Benbouzi, A review of inuction motors signature analysis as a meium for faults etection, IEEE Trans. on Inustrial Electronics, vol. 47, no. 5, pp. 984 993, Oct. 2. [6] S. ani, H. A. Toliyat, an X. Li, Conition monitoring an fault iagnosis of electrical motors-a review, IEEE Transaction on Energy Conversion, vol. 2, no. 4, pp. 719 729, Dec. 25. [7] G. B. Kliman an J. Stein, Methos of motor current signature analysis, Electric Power Components an Systems, vol. 2, no. 5, pp. 463 474, 1992. [8] A. Bellini, F. Filippetti, G. Franceschini, C. Tassoni, an G. B. Kliman, Quantitative evaluation of inuction motor broken bars by means of electrical signature analysis, IEEE Trans. on In. Appl., vol. 37, no. 5, pp. 1248 1255, Sep./Oct. 21. [9] L. Parsa an H. A. Toliyat, Fault-tolerant five-phase permanent magnet motor rives, in Inustry Applications Conference, 24. 39th IAS Annual Meeting. Conference Recor of the 24 IEEE, vol. 2, Oct. 24, pp. 148 154. [1] C. B. Jacobina, I. S. Freitas, T. M. Oliveira, E. R. C. a Silva, an A. M.. Lima, Fault tolerant control of five-phase AC motor rive, in Power Electronics Specialists Conference, 24. PESC 4. 24 IEEE 35th Annual, vol. 5, Jun. 24, pp. 3486 3492. [11] J. Apsley an S. Williamson, Analysis of multiphase inuction machines with wining faults, IEEE Trans. on In. Appl., vol. 42, no. 2, pp. 465 472, Mar./Apr. 26. [12] H.-M. Ryu, J.-W. Kim, an S.-K. Sul, Synchronous-frame current control of multiphase synchronous motor uner asymmetric fault conition ue to open phases, IEEE Trans. on In. Appl., vol. 42, no. 4, pp. 162 17, Jul./Aug. 26. [13]. Bianchi, S. Bolognani, an M. D. Pré, Design an tests of a fault tolerant five phase permanent magnet motor, in Proc. of IEEE Power Electronics Specialist Conference, PESC 6, Jeju, Korea, 18 22 June 26, pp. 254 2547. [14]. Bianchi, S. Bolognani, an M. D. Pre, Strategies for the fault-tolerant current control of a five-phase permanent-magnet motor, IEEE Trans. on In. Appl., vol. 43, no. 4, pp. 96 97, Jul./Aug. 27. [15] A. Bellini, F. Filippetti, G. Franceschini, an C. Tassoni, Close-loop control impact on the iagnosis of inuction motors faults, IEEE Trans. on In. Appl., vol. 36, no. 5, pp. 1318 1329, Sep./Oct. 2. [16] U. Manual, Finite element metho magnetics, Version 4.2, no. http://femm.foster-miller.net, March 2, 27. [17] E. Levi, M. Jones, S. Vukosavic, A. Iqbal, an H. Toliyat, Moeling, control, an experimental investigation of a five-phase series-connecte two-motor rive with single inverter supply, IEEE Trans. on Inustrial Electronics, vol. 54, no. 3, pp. 154 1516, June 27. [18] L. Parsa an H. Toliyat, Five-phase permanent-magnet motor rives, IEEE Trans. on Inustry Applications, vol. 41, no. 1, pp. 3 37, Jan. Feb. 25.