Computer-based automated test measurement system for determining magnetization characteristics of switched reluctance motors

Cheok, Adrian David; Ertugrul, N.

doi:10.1109/19.930441

Cited by 47 publications

(15 citation statements)

References 9 publications

(12 reference statements)

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“…In addition, the FEA method is time consuming due to its complex computation. Several methods for flux linkage measurement were investigated in [22,23]. However, most of these methods also suffer from high complexity and low accuracy.…”

Section: Methods For Obtaining Flux Linkage Characteristicsmentioning

confidence: 99%

A Switching Flux-linkage Reference-based Sensorless Method for Switched Reluctance Motor Drives

Cai¹,

Deng²

2014

Electric Power Components and Systems

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Section: Methods For Obtaining Flux Linkage Characteristicsmentioning

confidence: 99%

A Switching Flux-linkage Reference-based Sensorless Method for Switched Reluctance Motor Drives

Cai¹,

Deng²

2014

Electric Power Components and Systems

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“…Different articles have been published in which automated SRM-characterization systems are presented [12,13]. A test setup is built using a PMSM load machine and torque transducer (Fig.…”

Section: Experimental Test Setupmentioning

confidence: 99%

Modelling of Switched Reluctance Machines: State of the Art

D'Hulster

Stockman

Belmans

2004

International Journal of Modelling and Simulation

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This article gives an overview of different modelling techniques to describe the nonlinear behaviour of both saturated switched reluctance machine (SRM) and power electronic converter. The current research contributes by comparing the decoupled singlephase superposition method (lookup-tables) with a coupled analysis between drive model in Matlab/Simulink® and finite element model of the SRM motor in Flux2D®. Experimental characterization techniques as well as finite element techniques are used to obtain the single-phase flux-linkage data. Transient electromagnetic analysis using the finite element method, coupled with a drive model and optimization strategy in Matlab/Simulink®, results in a more accurate SRM modelling. These results are more accurate because the mutual coupling between different phases is taken into account. Using this direct coupling, we can model a complete analysis of the motor behaviour (local saturation, iron losses, etc.) with the finite element software, keeping the complex drive and control strategy in Matlab /Simulink®. At every time-step of the discrete solver, data are exchanged between the drive model and the coupled electric circuit of the finite element analysis. Simulation results are compared with measurements of flux-linkage, torque, phase current, and iron losses. Advantages and disadvantages of the coupled and decoupled modelling technique are discussed.

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“…Therefore, there have been several attempts reported in literatures to realize fully automated systems for measuring SRM characteristics [3][4]. The system in [3] was designed only for determining fluxlinkage characteristics.…”

Section: Characteristic Measurement System For Automotive Glss Snitchmentioning

confidence: 99%

“…The system in [3] was designed only for determining fluxlinkage characteristics. [4] presented a measurement system which can perform measurements of both flux-linkage and torque characteristics, however, in relative low torque and current range.…”

Section: Characteristic Measurement System For Automotive Glss Snitchmentioning

confidence: 99%

Characteristic measurement system for automotive class switched reluctance machines

Fuengwarodsakul¹,

Bauer²,

Tsafak³

et al. 2005

2005 European Conference on Power Electronics and Applications

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Flux-linkage characteristics and torque characteristics, which are regarded as fingerprints of Switched Reluctance Machines (SRM), are indispensable fundamental data required in modeling the machine behavior for both simulation and control purposes. In contrast to other types of electrical machines, e.g. induction machines and synchronous machines, SRMs are basically characterized by a strongly nonlinear behavior due to typical operation in the magnetic saturation region. Hence, no analytical function can be applied to describe characteristics of SRMs precisely. An accurate SRM model inevitably needs the complete machine characteristics in form of data-intensive look-up tables to represent the machine behavior. Generally, the SRM characteristics can be calculated by Finite Element (FE) simulation. However, real SRMs can be different from the simulation model due to endwinding effects, which are normally not considered in the FE-simulation model. Hence, the experimental measurement is preferred. Measuring and preparing the SRM characteristics is a complicated and time-consuming task, if done manually. The time-expense as well as possible human errors in determining the SRM characteristics can be minimized, if the measurement procedures are automated.This paper presents an automated characteristic measurement system for SRM. The measurement system was designed for automotive class SRMs, e.g. starter-generator, hybrid or main propulsion motor. The applied measurement methods, the system design and construction are described in the paper. Furthermore, constraints and discussions concerning the measurement accuracy are presented.

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Computer-based automated test measurement system for determining magnetization characteristics of switched reluctance motors

Cited by 47 publications

References 9 publications

A Switching Flux-linkage Reference-based Sensorless Method for Switched Reluctance Motor Drives

A Switching Flux-linkage Reference-based Sensorless Method for Switched Reluctance Motor Drives

Modelling of Switched Reluctance Machines: State of the Art

Characteristic measurement system for automotive class switched reluctance machines

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