OPTIMAL LQI-BASED CONTROL OF MULTI-ZONE UNDERGROUND MINE VENTILATION SYSTEMS USING FANS AND ADJUSTABLE DAMPERS

This study proposes an optimal control framework for multi-zone underground mine ventilation systems using a Linear Quadratic Integral (LQI) controller. The approach coordinates ventilation fan rotational speeds and adjustable damper positions to regulate airflow distribution across underground working zones. A mathematical model is formulated considering airflow dynamics, aerodynamic resistance, and network interactions. The model is linearized around an operating point and represented in state-space form. Integral feedback is introduced to reduce steady-state tracking errors and improve disturbance rejection. The proposed methodology can be evaluated through MATLAB/Simulink simulations using airflow tracking accuracy, response time, stability, and control effort as performance indicators.