Review of Fault-Tolerant Control Methods for Suspension Systems: From Road Vehicles to Maglev Trains

Autor: Fei Ni, Yifan Luo, Junqi Xu, Dachuan Liu, Yougang Sun, Wen Ji
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Mathematics, Vol 12, Iss 16, p 2576 (2024)
Druh dokumentu: article
ISSN: 2227-7390
DOI: 10.3390/math12162576
Popis: Road vehicles and maglev trains have garnered significant attention, with their suspension systems being crucial for safe and stable performance. However, these systems can be compromised by faults such as sensor and actuator failures, posing risks to stability and safety. This review explores fault-tolerant controls for suspension systems, driven by the need to enhance fault tolerance in such scenarios. We examine the dynamic similarities between the semi-active/active suspension systems in road vehicles and the suspension systems in maglev trains, offering a comprehensive summary of fault-tolerant control strategies for both. Our analysis covers the histories, technical characteristics, fundamentals, modeling, mathematical derivations, and control objectives of both systems. The review categorizes fault-tolerant control methods into hardware redundancy, passive fault-tolerant control, and active fault-tolerant control. We evaluate the advantages and disadvantages of these strategies and propose future directions for the development of fault-tolerant control in suspension systems.
Databáze: Directory of Open Access Journals
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