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.
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.
| Original language | English |
|---|---|
| Pages (from-to) | 72-81 |
| Number of pages | 10 |
| Journal | Asian Journal of Control |
| Volume | 23 |
| Issue number | 1 |
| Early online date | 6 Jul 2020 |
| DOIs | |
| Publication status | Published - Jan 2021 |
Bibliographical note
Funding Information:We acknowledge the support of COLCIENCIAS, Universidad Pedagógica y Tecnológica de Colombia, and GipsaLab (France) in the research project “Control Strategies in Small Underground Coal Mining Ventilation Networks”, and extend our thanks to the ECOSNORD Program for supporting the exchange of researchers between France and Colombia through the mobility project 66979.
Publisher Copyright:
© 2020 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering