< Back to previous page

Project

Model predictive control for compressor room control

The aim of this project is the design and development of tailored model predictive algorithms for compressor room control, executable on constraint central processing units (CPUs). A group of compressors is termed a compressor room and is typically regulated by a central controller whose main purpose is to regulate the compressors in such a way so that they provide pressurized air in the most energy-efficient way and/or ensure an equal number of running hours for all involved compressors. A significantly improved control algorithm will open new opportunities, and it is expected to provide solutions with a further reduction of the energy consumption in the compressor room. MPC is believed to offer a good answer to the challenges of this control problem.

Date:2 May 2022 →  Today
Keywords:MPC, Mixed-Integer
Disciplines:Control engineering
Project type:PhD project