Control strategies for ventilation networks in small‐scale mines using an experimental benchmark. Issue 1 (6th July 2020)

• Record Type: Journal Article
• Authors: Rodriguez‐Diaz, Oscar‐Oswaldo; Novella‐Rodriguez, David Fernando; Witrant, Emmanuel; Franco‐Mejia, Edinson
• Is Part Of: Asian journal of control. Volume 23:Issue 1(2021)
• Page Start: 72
• Page End: 81
• Publication Date: 2020-07-06
• Subjects: control applications -- experimental benchmark -- modeling -- ventilation networks; Automatic control -- Periodicals; Control theory -- Periodicals; 629.805
• DOI: 10.1002/asjc.2394
• Languages: English
• ISSNs: 1561-8625

Abstract

Abstract: In view of the frequent ventilation network changes during production in underground mining, decreasing sensors and actuators without altering production control and safety is one of the chief engineering challenges. This work is focused on modeling identification and control strategies for underground ventilation networks in small‐scale mines using an experimental benchmark. Guidelines to obtain a discrete state space model are provided, considering the conservation laws in the network to define the structure of the linear model. The main purpose of the paper is to analyze the use of classic controllers in the mine ventilation system when there are limitations on the number of sensors and actuators available to design a feedback control system. A comparison of three classic control strategies is presented considering the a constraint on the available number of sensors. Experimental and simulation results are presented.