2022
DOI: 10.36227/techrxiv.20444481
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Saliency-Sensitive Parametric Average-Value Modeling of Machine-Rectifier Systems--Part I: Modeling and Simulation

Abstract: <p>This research focusses on developing a computationally efficient average-value model of synchronous machine-rectifier systems.</p>

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Cited by 1 publication
(4 citation statements)
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“…As expected, the previous PAVM parametric functions are coincident with the proposed SSPAVM parametric functions at the current angles on which they are based. These multidimensional parametric functions can serve as the basis for a SSPAVM [20] that, from the results presented herein, can be expected to perform more accurately in dynamic situations, particularly for more salient machinerectifier systems.…”
Section: Demonstration and Discussionmentioning
confidence: 99%
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“…As expected, the previous PAVM parametric functions are coincident with the proposed SSPAVM parametric functions at the current angles on which they are based. These multidimensional parametric functions can serve as the basis for a SSPAVM [20] that, from the results presented herein, can be expected to perform more accurately in dynamic situations, particularly for more salient machinerectifier systems.…”
Section: Demonstration and Discussionmentioning
confidence: 99%
“…A novel approach for obtaining the essential nonlinear parametric functions required to develop a SSPAVM of the synchronous machine-rectifier system is discussed herein. This procedure provides the necessary lookup table values required for the application of the SSPAVM (developed in [20]). This procedure is demonstrated and compared with the lookup table values that are obtained when using the previous PAVM.…”
Section: Discussionmentioning
confidence: 99%
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