Work

A Data-Driven Comprehensive Evaluation Method for Electromagnetic Suspension Maglev Control System

Year: 2024

Type: article

Abstract: As new advanced vehicles, the safety and stability of electromagnetic suspension maglev trains have always been a subject of concern. This study introduces the improved R index and τ-distance index into the performance evaluation of the suspension control system, respectively assessing the stability of the suspension gap and the smoothness of train operation, combining them with grey relational analysis to achieve data-driven comprehensive evaluation. Furthermore, feasibility tests on the Fenghuang Maglev Express validate the effectiveness and superiority of the comprehensive evaluation method based on measured data. Experimental results demonstrate that the data-driven comprehensive evaluation method, through designing specialized evaluation metrics and increasing assessment dimensions, effectively evaluates the performance of the suspension system control loop. Compared to a traditional error integral comprehensive performance index, it offers greater comprehensiveness and accuracy, along with real-time state-monitoring capabilities.

Source: Actuators

DOI: 10.3390/act13080314

Authors: Xingyu Zhou, Shi Liang, Xiaolong Li, Zhiqiang Long, Zhiqiang Wang

Institution: National University of Defense Technology

Language: English

Topic: Magnetic Bearings and Levitation Dynamics

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,728