A novel anti-slip control approach for railway vehicles with traction based on adhesion estimation with swarm intelligence
ČlánekStatus neznámýpeer-reviewedpublished versionDatum publikování
2020
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SPRINGER
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Anti-slip control systems are essential for railway vehicle systems with traction. In order to propose an effective anti-slip control system, adhesion information between wheel and rail can be useful. However, direct measurement or observation of adhesion condition for a railway vehicle in operation is quite demanding. Therefore, a proportional-integral controller, which operates simultaneously with a recently proposed swarm intelligence-based adhesion estimation algorithm, is proposed in this study. This approach provides determination of the adhesion optimum on the adhesion-slip curve so that a reference slip value for the controller can be determined according to the adhesion conditions between wheel and rail. To validate the methodology, a tram wheel test stand with an independently rotating wheel, which is a model of some low floor trams produced in Czechia, is considered. Results reveal that this new approach is more effective than a conventional controller without adhesion condition estimation.
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nestránkováno
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2662-4745
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RAILWAY ENGINEERING SCIENCE, volume Vol. 28, issue: Issue 4
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https://link.springer.com/content/pdf/10.1007/s40534-020-00223-w.pdf
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open access (CC BY 4.0)
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adhesion estimation, traction control, anti-slip control, railway vehicles, roller-rigs, swarm intelligence, odhad adhezních podmínek, řízení trakce, protiskluzová ochrana, kolejová vozidla, kladkové zkušební stavy, swarm intelligence
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Except where otherwised noted, this item's license is described as open access (CC BY 4.0)