An intelligent control algorithm for the gas precise drainage problem based on model predictive control

Intelligent extraction of coal seam gas constitutes a crucial development direction for managing underground gas disasters. Building on an established mathematical model, this study develops an intelligent control model for gas extraction. In this model, controlled variables include gas extraction concentration, gas extraction flow rate, negative pressure, and extraction pump efficiency ratio, while control variables are defined as the valve opening of extraction boreholes and the power of extraction pumps. The ideal curve of the controlled quantity with time is obtained by using the recurrent neural network (SimpleRNN), and the controlled quantity is intelligently controlled by the model predictive control (MPC) algorithm so that the actual value of controlled quantity approaches the reference value at the corresponding time of its ideal curve. Taking the simulated gas extraction data as an example, an algorithm simulation experiment is performed. The experimental result..., , # Data from: An intelligent control algorithm for the gas precise drainage problem based on model predictive control

DOI: [10.5061/dryad.3r2280gwp](https://doi.org/10.5061/dryad.3r2280gwp)

#### Data and File Structure

The data serves as the basis for the algorithm simulation. The four control variables for the gas extraction system are: gas extraction concentration, gas extraction purity, gas extraction negative pressure, and gas extraction pump efficiency ratio. The raw data were cleaned, and missing and outlier values ​​were imputed using the nearest mean method. Due to the presence of values ​​with different dimensions in the dataset, the data was normalized and scaled to the range of 0-1. Files and Variables File: xiangmushuju.csv Description: Variables

* Date/Time

- 3356
- 3357
- 3358
- 3460

3356, 3357, 3358, 3460 correspond to Gas extraction concentration, Gas extraction purity, Gas extraction pump efficiency ratio, Gas extraction negative pressure

* Gas extraction concen...,