138
Views
13
CrossRef citations to date
0
Altmetric
Articles

Interval max-plus fault-tolerant control under resource conflicts and redundancies: application to the seat assembly

, , &
Pages 2662-2674 | Received 08 Sep 2018, Accepted 03 Jun 2019, Published online: 20 Jun 2019
 

Abstract

This paper reports the development and application of an interval max-plus fault-tolerant control to a seat assembly system. Such systems will undergo a profound change because novel seats for autonomous driving contain expanded safety systems and are more voluminous and heavy. Automated guided vehicles are a promising means of transportation in these systems, but they require dedicated and advanced control systems. This rises new challenges because such an assembly system can dispose both shared resources and redundant elements. This paper presents a fault-tolerant control framework, which allows dealing with systems containing shared resources as well as redundancies. It also overcomes the problem of uncertainties and constraints, which are inevitable in industrial reality.

Acknowledgements

The authors would like to express their sincere gratitude to the anonymous referees for their comments and guidelines.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The work was supported by the National Science Centre of Poland (Narodowe Centrum Nauki) [grant number UMO-2017/27/B/ST7/00620].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,709.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.