8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016) 2016
DOI: 10.1049/cp.2016.0178
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Solution space based pre-design approach to compare and select configurations of switched reluctance machines

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Cited by 6 publications
(6 citation statements)
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“…The iron loss of SRMs is not only related to the geometry dimensions, but also determined by the control parameters. Generally speaking, it is very hard to find optimal control parameters during the pre‐design stage since in this stage, as described in [8], magnetic characteristics only at aligned and unaligned positions are simulated by FEA to save space and time. Due to the limited information, it is very difficult to compare the dynamic performance at the optimal control point.…”
Section: Iron Loss Modelmentioning
confidence: 99%
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“…The iron loss of SRMs is not only related to the geometry dimensions, but also determined by the control parameters. Generally speaking, it is very hard to find optimal control parameters during the pre‐design stage since in this stage, as described in [8], magnetic characteristics only at aligned and unaligned positions are simulated by FEA to save space and time. Due to the limited information, it is very difficult to compare the dynamic performance at the optimal control point.…”
Section: Iron Loss Modelmentioning
confidence: 99%
“…Burkhart et al . [8] proposed a solution space‐based pre‐design approach, which can help a designer to select the most suitable configuration in an intuitive way for a specific torque requirement. In this approach, the torque production ability is pre‐calculated by finite element analysis (FEA), stored in a database, and applied for the power density optimisation.…”
Section: Introductionmentioning
confidence: 99%
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“…This work, based on a generalized SRM model, is further developed into a comprehensive design procedure in [16], [17]. To make the design process dependent only on physical and geometric parameters rather than empirical tuning factors a solution space based design approach is prefered in [18]. In this approach the application dependent design parameters are decoupled from the basic torque production capability of a specific SRM cross section.…”
Section: Designmentioning
confidence: 99%
“…As a result, the designer has a fast, yet accurate evaluation tool, based on FEA validated machine characteristics, to assess the potential and limitations of different machine configurations before entering a detailed iterative optimization process. It is shown in [18] that even in this early design stage it is essential to consider the thermal behavior and the losses, as the heat transfer characteristic from coil to cooling sleeve strongly depends on the SRM cross section.…”
Section: Designmentioning
confidence: 99%