Investigation on magnetic saturation in switched reluctance motor using 2D hybrid finite element method

Lin, H.; Low, T.S.; Chen, S.X.

doi:10.1109/20.538855

Cited by 25 publications

(2 citation statements)

References 14 publications

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“…Fewer parts and concentrated windings, along with a rotor which does not carry any magnets or coils results in a machine with low cost of manufacturing and rugged structure suitable for operation at very high speeds. It must be noted that magnetic saturation and mutual coupling between phases can cause complexity in modeling of this simple magnetic configuration [4], [5], [6]. Figure 1 shows the cross section of a 3 phase 12/8 SRM.…”

Section: Fundamentals Of Operationmentioning

confidence: 98%

Model predictive control of stator currents in Switched Reluctance Generators

Kiani

2014

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

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Control of phase current is an integral part of operation in Switched Reluctance Generators (SRG). Since machine windings experience a substantial back-emf during generation, stator phase currents tend to increase even after the phase is turned off. This in turn necessitates an oversized converter, thereby increasing the cost and overall size of the system. Moreover, due to variations in speed of the prime mover, the power electronic converter should be designed for the worst possible case. This will magnify the additional cost and size issues. Furthermore, implementation of a current profiling scheme for specific reasons such as active vibration cancellation, etc. requires an online estimation of the motional back-emf. In the present paper, a novel method for controlling the current in SRG is proposed. This method enhances the cost and size of the power electronics converter. In addition, using an online estimation of motional back-emf, it makes current profiling in the stator windings possible. This will pave the way for advanced applications of SRG in automotive, aerospace and other challenging places. It must be noted that this method does not require any extra circuitry or memory for its implementation.

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Section: Fundamentals Of Operationmentioning

confidence: 98%

Model predictive control of stator currents in Switched Reluctance Generators

Kiani

2014

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

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“…a Polycrystalline AFM layers[28,63] b Polycrystalline AFM layers after annealing[69,70,71] c AFM layers with (1 1 1) texture[72,73,74] d AFM layers with (1 0 0) texture[18,33,75] e AFM layers with (1 1 0) texture[18,33,75] f Polycrystalline AFM layers[76] g Polycrystalline AFM layers after annealing[77,78,79] …”

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confidence: 99%

"Exchange Bias Effect: A Brief Review "

Bundela¹,

Himani²,

Ranjan³

et al. 2022

IJASE

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After being discovered in 1956, Exchange Bias effect has invoked the interest of many researchers, which apparently increased after emergence of its versatile application related to giant magneto resistance, spintronics and its use in magnetic sensors and as stabilizers in magnetic reading heads. This review primarily focuses on understanding the phenomenon of Exchange Bias Effect and its evolution throughout these years. Here, we have discussed the different combinations of materials that exhibit this effect, the techniques used. In addition to various theoretical models devised till date, different applications and some unresolved problems associated with Exchange Bias Effect.

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