
Airflow Modelling & Control

VENTILATION CHAMBER FACILITY AT LANCASTER UNIVERSITY
This project was my final year dissertation at Lancaster University. The work involved developing and comparing PI, PIP and MPC airspeed control algorithms using the ventilation chamber and MATLAB software. The idea was to create an algorithm that would control the airspeed at particular points in space inside the chamber, regardless of disturbances, wear, or any other factors. The main goal was to make the algorithms fast-responding, reliable and energy-efficient. This project has assisted several on-going studies by Lancaster University engineering research group. Some of the possible application of such algorithms are shown below.
The three mentioned control systems were developed in MATLAB as shown below and later incorporated into LABView to enable interaction with the ventilation chamber. There were numerous quantitative and qualitative comparisons presented that suggest that Model Predictive Control technique can be exceptionally efficient for fast changing processes such as airspeed control, despite the main use for Multiple Input Multiple Output (MIMO) processes.
Model Predictive Control system (MPC)
Proportional-Integral-Plus controller (PIP)
Proportional-Integral controller (PI)