In:
Journal Européen des Systèmes Automatisés, International Information and Engineering Technology Association, Vol. 55, No. 2 ( 2022-04-30), p. 189-196
Abstract:
Adhesion control system is an essential component for a freight train, which aims to optimize its performance of traction, the design of the adhesion control system remains a significant challenge. One of the main challenges is the optimal creep-speed is difficult to acquire in real-time, the other one is the parameters of resistance were not available in advance. Meanwhile, adhesion is a nonlinear dynamical process. In this paper, an improved sliding mode extremum seeking virtual sensors is proposed for the issue of acquiring the optimal creep-speed in real-time; a particle swarm algorithm (PSO)-based estimation method is proposed for the issue of uncertain resistance parameters; and finally, an adhesion controller is designed based on the barrier Lyapunov concept.
Type of Medium:
Online Resource
ISSN:
1269-6935
,
2116-7087
DOI:
10.18280/jesa.550205
Language:
Unknown
Publisher:
International Information and Engineering Technology Association
Publication Date:
2022
detail.hit.zdb_id:
2390481-1
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