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Experimental force characterization of linear switched reluctance machine

Authors: Luis Miguel Pestana; M. R. A. Calado; S. Mariano;

Experimental force characterization of linear switched reluctance machine

Abstract

High performance control of Switched Reluctance Machines (SRM) dictates the need for an accurate electromagnetic characterization which can be obtained either by analytical, finite elements (FE) or experimental methods. Physically SRM's present a double salient structure and are intended to operate in deep magnetic saturation in function of phase current and rotor position. As a result SRM's characteristics exhibit its nonlinear nature rendering the analysis, modeling and control rather stimulating. In this paper the authors present a semi-automatic data gathering process that is used in the Force Characterization of a three phase 6/4 type Linear Switched Reluctance Actuator (LSRA). The acquisition system is based on a low cost load cell, 24-bit analog to digital converter and signal conditioning HX711 module, encoder and Hall Effect current sensors. The used microcontroller TMS320f28335 from Texas Instruments collects and sends data information to Host computer running Matlab-Simulink software for processing and analysis.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Top 10%
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