4,194 research outputs found

    Fault-Tolerant Control of a Flux-switching Permanent Magnet Synchronous Machine

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    Je jasnĂ©, ĆŸe nejĂșspěơnějĆĄĂ­ konstrukce zahrnuje postup vĂ­cefĂĄzovĂ©ho ƙízenĂ­, ve kterĂ©m kaĆŸdĂĄ fĂĄze mĆŻĆŸe bĂœt povaĆŸovĂĄna za samostatnĂœ modul. Provoz kterĂ©koliv z jednotek musĂ­ mĂ­t minimĂĄlnĂ­ vliv na ostatnĂ­, a to tak, ĆŸe v pƙípadě selhĂĄnĂ­ jednĂ© jednotky ostatnĂ­ mohou bĂœt v provozu neovlivněny. ModulĂĄrnĂ­ ƙeĆĄenĂ­ vyĆŸaduje minimĂĄlnĂ­ elektrickĂ©, magnetickĂ© a tepelnĂ© ovlivněnĂ­ mezi fĂĄzemi ƙízenĂ­ (měniče). SynchronnĂ­ stroje s pulznĂ­m tokem a permanentnĂ­mi magnety se jevĂ­ jako atraktivnĂ­ typ stroje, jejĂ­ĆŸ pƙednostmi jsou vysokĂœ kroutĂ­cĂ­ moment, jednoduchĂĄ a robustnĂ­ konstrukce rotoru a skutečnost, ĆŸe permanentnĂ­ magnety i cĂ­vky jsou umĂ­stěny společně na statoru. FS-PMSM jsou poměrně novĂ© typy stƙídavĂ©ho stroje stator-permanentnĂ­ magnet, kterĂ© pƙedstavujĂ­ vĂœznamnĂ© pƙednosti na rozdĂ­l od konvenčnĂ­ch rotorĆŻ - velkĂœ kroutĂ­cĂ­ moment, vysokĂœ točivĂœ moment, v podstatě sinusovĂ© zpětnĂ© EMF kƙivky, zĂĄroveƈ kompaktnĂ­ a robustnĂ­ konstrukce dĂ­ky umĂ­stěnĂ­ magnetĆŻ a vinutĂ­ kotvy na statoru. SrovnĂĄnĂ­ vĂœsledkĆŻ mezi FS-PMSM a klasickĂœmi motory na povrchu upevněnĂœmi PM (SPM) se stejnĂœmi parametry ukazuje, ĆŸe FS-PMSM vykazuje větĆĄĂ­ vzduchovĂ© mezery hustoty toku, vyĆĄĆĄĂ­ točivĂœ moment na ztrĂĄty v mědi, ale takĂ© vyĆĄĆĄĂ­ pulzaci dĂ­ky reluktančnĂ­mu momentu. Pro stroje buzenĂ© permanentnĂ­mi magnety se jednĂĄ o tradičnĂ­ rozpor mezi poĆŸadavkem na vysokĂœ kroutĂ­cĂ­ moment pod zĂĄkladnĂ­ rychlostĂ­ (oblast konstantnĂ­ho momentu) a provozem nad zĂĄkladnĂ­ rychlostĂ­ (oblast konstantnĂ­ho vĂœkonu), zejmĂ©na pro aplikace v hybridnĂ­ch vozidlech. Je pƙedloĆŸena novĂĄ topologie synchronnĂ­ho stroje s permanentnĂ­mi magnety a spĂ­nanĂœm tokem odolnĂ©ho proti poruchĂĄm, kterĂĄ je schopnĂĄ provozu během vinutĂ­ naprĂĄzdno a zkratovanĂ©ho vinutĂ­ i poruchĂĄch měniče. SchĂ©ma je zaloĆŸeno na dvojitě vinutĂ©m motoru napĂĄjenĂ©m ze dvou oddělenĂœch vektorově ƙízenĂœch napěƄovĂœch zdrojĆŻ. VinutĂ­ jsou uspoƙádĂĄna takovĂœm zpĆŻsobem, aby tvoƙila dvě nezĂĄvislĂ© a oddělenĂ© sady. Simulace a experimentĂĄlnĂ­ vĂœzkum zpƙesnĂ­ vĂœkon během obou scĂ©náƙƯ jak za normĂĄlnĂ­ho provozu, tak za poruch včetně zkratovĂœch zĂĄvad a ukĂĄĆŸĂ­ robustnost pohonu za těchto podmĂ­nek. Tato prĂĄce byla publikovĂĄna v deseti konferenčnĂ­ch pƙíspěvcĂ­ch, dvou časopisech a kniĆŸnĂ­ kapitole, kde byly pƙedstaveny jak topologie pohonu a aplikovanĂĄ ƙídĂ­cĂ­ schĂ©mata, tak analĂœzy jeho schopnosti odolĂĄvat poruchĂĄm.It has become clear that the most successful design approach involves a multiple phase drive in which each phase may be regarded as a single-module. The operation of any one module must have minimal impact upon the others, so that in the event of that module failing the others can continue to operate unaffected. The modular approach requires that there should be minimal electrical, magnetic and thermal interaction between phases of the drive. Flux-Switching permanent magnet synchronous machines (FS-PMSM) have recently emerged as an attractive machine type virtue of their high torque densities, simple and robust rotor structure and the fact that permanent magnets and coils are both located on the stator. Flux-switching permanent magnet (FS-PMSM) synchronous machines are a relatively new topology of stator PM brushless machine. They exhibit attractive merits including the large torque capability and high torque (power) density, essentially sinusoidal back-EMF waveforms, as well as having a compact and robust structure due to both the location of magnets and armature windings in the stator instead of the rotor as those in the conventional rotor-PM machines. The comparative results between a FS-PMSM and a traditional surface-mounted PM (SPM) motor having the same specifications reveal that FS-PMSM exhibits larger air-gap flux density, higher torque per copper loss, but also a higher torque ripple due to cogging -torque. However, for solely permanent magnets excited machines, it is a traditional contradiction between the requests of high torque capability under the base-speed (constant torque region) and wide speed operation above the base speed (constant power region) especially for hybrid vehicle applications. A novel fault-tolerant FS-PMSM drive topology is presented, which is able to operate during open- and short-circuit winding and converter faults. The scheme is based on a dual winding motor supplied from two separate vector-controlled voltage-sourced inverter drives. The windings are arranged in a way so as to form two independent and isolated sets. Simulation and experimental work will detail the driver’s performance during both healthy- and faulty- scenarios including short-circuit faults and will show the drive robustness to operate in these conditions. The work has been published in ten conference papers, two journal papers and a book chapter, presenting both the topology of the drive and the applied control schemes, as well as analysing the fault-tolerant capabilities of the drive.

    Optimal Design of IPM Motors With Different Cooling Systems and Winding Configurations

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    Performance improvement of permanent magnet (PM) motors through optimization techniques has been widely investigated in the literature. Oftentimes the practice of design optimization leads to derivation/interpretation of optimal scaling rules of PM motors for a particular loading condition. This paper demonstrates how these derivations vary with respect to the machine ampere loading and ferrous core saturation level. A parallel sensitivity analysis using a second-order response surface methodology followed by a large-scale design optimization based on evolutionary algorithms are pursued in order to establish the variation of the relationships between the main design parameters and the performance characteristics with respect to the ampere loading and magnetic core saturation levels prevalent in the naturally cooled, fan-cooled, and liquid-cooled machines. For this purpose, a finite-element-based platform with a full account of complex geometry, magnetic core nonlinearities, and stator and rotor losses is used. Four main performance metrics including active material cost, power losses, torque ripple, and rotor PM demagnetization are investigated for two generic industrial PM motors with distributed and concentrated windings with subsequent conclusions drawn based on the results

    A coupled electromagnetic / hydrodynamic model for the design of an integrated rim - driven naval propulsion system

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    This paper presents an analytical multi-physic modeling tool for the design optimization of a new kind of naval propulsion system. This innovative technology consists in an electrical permanent magnet motor that is integrated into a duct and surrounds a propeller. Compared with more conventional systems such as pods, the electrical machine and the propeller have the same diameter. Thus, their geometries, in addition to speed and torque, are closely related and a multidisciplinary design approach is relevant. Two disciplines are considered in this analytical model: electromagnetism and hydrodynamics. An example of systematic design for a typical application (a rim-driven thruster for a patrol boat) is then presented for a set of different design objectives (efficiency, mass, etc). The effects of each model are commente

    Line-start permanent-magnet motor single-phase steady-state performance analysis

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    This paper describes an efficient calculating procedure for the steady-state operation of a single-phase line-start capacitor-run permanent-magnet motor. This class of motor is beginning to be applied in hermetic refrigerator compressors as a high-efficiency alternative to either a plain induction motor or a full inverter-fed drive. The calculation relies on a combination of reference-frame transformations including symmetrical components to cope with imbalance, and dq axes to cope with saliency. Computed results are compared with test data. The agreement is generally good, especially in describing the general properties of the motor. However, it is shown that certain important effects are beyond the limit of simple circuit analysis and require a more complex numerical analysis method

    Methods of resistance estimation in permanent magnet synchronous motors for real-time thermal management

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    Real-time thermal management of electrical ma- chines relies on sufficiently accurate indicators of internal tem- perature. One indicator of temperature in a permanent-magnet synchronous motor (PMSM) is the stator winding resistance. Detection of PMSM winding resistance in the literature has been made on machines with relatively high resistances, where the resistive voltage vector is significant under load. This paper describes two techniques which can be applied to detect the winding resistance, through ‘Fixed Angle’ and ‘Fixed Mag- nitude’ current injection. Two further methods are described which discriminate injected current and voltages from motoring currents and voltages: ‘Unipolar’ and ‘Bipolar’ separation. These enable the resistance to be determined, and hence the winding temperature in permanent-magnet machines. These methods can be applied under load, and in a manner that does not disturb motor torque or speed. The method distinguishes between changes in the electro-motive force (EMF) constant and the resistive voltage. This paper introduces the techniques, whilst a companion paper covers the application of one of the methods to a PMSM drive system

    Thermal Management of E–Motors in Electric Vehicle Application Employing LPTN Model

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    The electric motor is at the center focus as an alternative to the internal combustion engine for automotive applications since it does not produce greenhouse gas emissions and can contribute significantly to the reduction of fossil fuel consumption globally. As extensive research works are being done on electric vehicles at present, thermal analysis of traction motor is increasingly becoming the key design factor to produce electric motors with high power and torque capabilities in order to satisfy electric vehicle driving requirements. Motor losses cause active heat generation in the motor components and excessive temperature rise affects the electromagnetic performance of the traction motor. High torque and power requirements based on the driving conditions under urban and highway drive conditions demand high capacity motor cooling system in order to keep the temperature within the safe limit. Hence, it is critical to develop and design a temperature prediction tool to dynamically estimate the winding and magnet temperature and regulate cooling to remove excessive heat from the motor. Conventional thermal modeling of motors includes analytical and numerical modeling. Analytical modeling is done by using Lumped Parameter Thermal Network (LPTN) which is analogous to electric circuit and a fast method for predicting temperature. It uses heat transfer equations involving thermal resistances and thermal capacitances to analytically determine temperature at different nodes. Numerical modeling is done in two ways–Finite Element Analysis and Computational Fluid Dynamics. Numerical modeling can produce more accurate results, but it requires more computational time. Since the temperature of motor components has to be predicted very quickly, i.e. during driving, LPTN is more effective because LPTN can quickly predict temperature based on the heat transfer equations. This thesis proposes an LPTN model that predicts motor temperature and regulates the required coolant flow rate simultaneously. Thus, it is able to dynamically predict the temperature. MATLAB Simulink has been used for simulation of the LPTN model for a laboratory PMSM prototype. The thermal resistances in the thermal network model have been obtained from the motor geometrical parameters. The electromagnetic loss data with respect to torque and speed were taken as input, and thus the temperature results of motor components have been found. The future work will be to implement this model into full scale prototype of the motor

    Lumped Parameter Thermal Network Modelling for Thermal Characterization and Protection of Traction Motors in Electric Vehicle Application

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    This thesis investigates thermal modelling of traction motors for thermal characterization and protection in electric vehicle application. The requirements for traction motor characteristics include high power density; high torque at low speed for starting and climbing; high power at high speed for cruising; wide speed range; a fast torque response; high efficiency over wide torque and speed ranges and high reliability. High torque and power density requirements in traction motors mean increasing current and consequently, higher temperature rise in the motor. When the temperature of the winding and magnet in traction motors exceed permissible thermal limit frequently due to lack of proper understanding and managing of the thermal conditions it will have a short-term and a long term impacts on the motor operation. In the short-term, it will never be able to produce required torque and power for standard driving conditions of electric vehicle. In the long-term, it will have the detrimental effects on the life of insulation material and consequently, it will cause permanent insulation breakdown and on the other hand, demagnetization due to higher temperature will cause a permanent damage to the motor. Hence, it is extremely important to predict temperature rise in the motor accurately and regulate liquid cooling accordingly so that the motor does not fail to produce required torque and power for any driving conditions. This research work proposes a higher order lumped parameter thermal network (LPTN) model to determine a comprehensive thermal characterization of the traction motors. Such characterization predicts the temperature of the winding, magnet and other parts of the motor. The proposed model is capable of taking inputs dynamically of motor operating parameters in electric vehicle and generate a motor loss model that feeds loss results into LPTN thermal model to predict motor temperature. The proposed model investigates cooling requirements to the motor so that the motor continues to produce the rated torque and power. The LPTN model results are validated through thermal tests on a copper rotor induction motor (CRIM) and an interior permanent magnet synchronous motor (IPMSM) in the laborator

    PM fractional machines adopting bonded magnets: effect of different magnetizations on the energetic performance

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    The adoption of Permanent Magnets in small brushless machines for automotive applications is becoming frequent. Some research on bonded magnets is being carried on to substitute the ferrites. In the paper the parallel and radial magnetizations are considered: the different process complexity levels are analyzed and the effects on the iron losses and the energetic performances are evaluated by means of a simulation analysis and its experimental validatio

    Detection of inter-turn faults in multi-phase ferrite-PM assisted synchronous reluctance machine

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    Inter-turn winding faults in five-phase ferrite-permanent magnet-assisted synchronous reluctance motors (fPMa-SynRMs) can lead to catastrophic consequences if not detected in a timely manner, since they can quickly progress into more severe short-circuit faults, such as coil-to-coil, phase-to-ground or phase-to-phase faults. This paper analyzes the feasibility of detecting such harmful faults in their early stage, with only one short-circuited turn, since there is a lack of works related to this topic in multi-phase fPMa-SynRMs. Two methods are tested for this purpose, the analysis of the spectral content of the zero-sequence voltage component (ZSVC) and the analysis of the stator current spectra, also known as motor current signature analysis (MCSA), which is a well-known fault diagnosis method. This paper compares the performance and sensitivity of both methods under different operating conditions. It is proven that inter-turn faults can be detected in the early stage, with the ZSVC providing more sensitivity than the MCSA method. It is also proven that the working conditions have little effect on the sensitivity of both methods. To conclude, this paper proposes two inter-turn fault indicators and the threshold values to detect such faults in the early stage, which are calculated from the spectral information of the ZSVC and the line currentsPeer ReviewedPostprint (published version
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