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http://dx.doi.org/10.1109/ISIE...
Conference object . 2016
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Current control of reluctance synchronous machines with online adjustment of the controller parameters
EC| AWESCO
Authors: Hackl, C.M.; Kamper, M.J.; Kullick, J.; Mitchell, J.;
Abstract
This paper discusses nonlinear proportional-integral (PI) current control with anti-windup of reluctance synchronous machines (RSMs) for which the flux linkage maps are known (e.g. obtained by FEM analysis or measurements). Due to the nonlinear flux linkage, the current dynamics of RSMs are highly nonlinear and, so, to obtain an (almost) identical current closed-loop dynamics over the complete operation range, the controller parameters and the disturbance compensation terms must be adjusted online at each sampling instant. The model-based controller design is derived theoretically in state space. The theoretical results are illustrated and validated by simulation and measurement results.
Related Organizations
- Technical University of Munich Germany
- Stellenbosch University South Africa
citations 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).47 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%

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citations
Citations provided by BIP!
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).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
47
Top 10%
Top 10%
Top 10%
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Energy Research