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.

中文翻译：

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使用实验基准的小型矿井通风网络控制策略

鉴于地下采矿生产过程中通风网络的频繁变化，减少传感器和执行器而不改变生产控制和安全性是主要的工程挑战之一。这项工作的重点是使用实验基准对小型矿井地下通风网络的识别和控制策略进行建模。提供了获取离散状态空间模型的指南，其中考虑了网络中的守恒定律以定义线性模型的结构。本文的主要目的是分析在可用于设计反馈控制系统的传感器和执行器数量有限的情况下，矿井通风系统中经典控制器的使用情况。考虑到对可用传感器数量的限制，提出了三种经典控制策略的比较。给出了实验和仿真结果。