A control method for center-of-gravity deviation in locomotive bogies based on an improved Grey Wolf Optimization algorithm

As high-speed rail networks continue to expand, the workload for train maintenance has risen correspondingly, and the conventional experience−based manual adjustment of spring compression during bogie overhauls introduces significant uncertainty and safety risks. To address this challenge, we develo...

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Hlavní autoři:	Renzun Zhu, Jinhe Chen, Simin Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2025-09-01
Edice:	Frontiers in Mechanical Engineering
Témata:	control method for locomotive center-of-gravity deviation spring-load correlation matrix Gaussian distribution-enhanced nonlinear convergence factor opposition-based learning and exploration Cauchy perturbation mechanism for the α wolf
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fmech.2025.1646395/full
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