Change search
ReferencesLink to record
Permanent link

Direct link
Wireless ventilation control for large-scale systems: The mining industrial case
Show others and affiliations
2010 (English)In: International Journal of Robust and Nonlinear Control, ISSN 1049-8923, E-ISSN 1099-1239, Vol. 20, no 2, 226-251 p.Article in journal (Refereed) Published
Abstract [en]

This paper describes a new industrial case on automation, for large-scale systems with high environmental impact: the mining ventilation control systems. Ventilation control is essential for the operation of a mine in terms of safety (CO and NO, regulation) and energy optimization. We first discuss a novel regulation architecture, highlighting the interest for a model-based control approach and the use of distributed sensing capabilities thanks to a wireless sensor network (WSN). We propose a new model for underground ventilation. The main components of the system dynamics are described with time-delays, transmission errors, energy losses and concentration profiles. Two different model-based control approaches, which can embody the complex dynamics of the system, are proposed. The first one resorts to a nonlinear model predictive control strategy (receding horizon) and aims to energy minimization, thanks to a continuous operation of the fans. The second one, based on a hybrid description of the model and fans operation, provides automatic verification of the wireless control thanks to abstraction techniques. These control strategies are compared with simulations, in terms of regulation efficiency, energy consumption and the need for computational capabilities. The industrial case description and control strategies open new vistas for the development of global system approaches that allow for the optimization of energy consumption of complex large-scale systems.

Place, publisher, year, edition, pages
2010. Vol. 20, no 2, 226-251 p.
Keyword [en]
network controlled systems, ventilation control, large-scale systems, distributed flow control, wireless sensor networks
National Category
Information Science
URN: urn:nbn:se:kth:diva-28887DOI: 10.1002/rnc.1485ISI: 000273545600008ScopusID: 2-s2.0-75749101387OAI: diva2:390423
QC 20110121Available from: 2011-01-21 Created: 2011-01-21 Last updated: 2012-01-16Bibliographically approved

Open Access in DiVA

networked_control_ijrnc09mining(907 kB)44 downloads
File information
File name FULLTEXT01.pdfFile size 907 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Johansson, Karl Henrik
By organisation
Automatic ControlACCESS Linnaeus Centre
In the same journal
International Journal of Robust and Nonlinear Control
Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 44 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 65 hits
ReferencesLink to record
Permanent link

Direct link