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Energy efficient control of rail vehicles

Authors: Iakov M. Golovitcher;

Energy efficient control of rail vehicles

Abstract

This paper describes an analytical method of computation of optimal controls which minimize the energy consumption by rail or any other fixed path vehicles. A specific aspect of this problem is that the external forces applied to the vehicle and the maximum allowable speed depend on the coordinate of the vehicle. The known analytical solutions do not take this important feature into account. Classical numerical methods of optimization cannot be used by an on-board computer since they require significant computation time. We applied the maximum principle to determine: the set of optimal controls, the switching graphs and the optimality conditions. Based on these results, we developed an efficient computation algorithm without sacrificing the accuracy of the mathematical model. The paper is concluded with an example of optimal controls and discussion of some applications of the presented method.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
16
Top 10%
Top 10%
Average
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