Publication

Energy efficiency improvement through MPC-based peripherals management for an industrial process test-bench

Conference Article

Conference

IFAC Conference on Manufacturing Modeling, Management and Control (MIM)

Edition

2019

Pages

6

File

Download the digital copy of the doc pdf document

Abstract

High energy costs evince the growing need for energy efficiency in industrial companies. This paper presents a solution at the industrial machine level to obtain efficient energy consumption. Therefore, a controller inspired by the well-known model predictive control (MPC) strategy was developed for the management of peripheral devices. The validation of the control requires a test-bench to emulate the energy consumption of a manufacturing machine. The test-bench has four devices, two used to emulate the periodic and fixed energy consumption of the manufacturing process and two as peripherals, subject to rules associated with the process. Consequently, a subspace identification (SI) was employed to identify energy models to simulate the behavior of the device. As a final step, a performance comparison between a rule-based control (RBC) and the proposed predictive-like controller revealed the remarkable energy savings. The MPC results show an energy saving of around 3% with respect to RBC as well as an instant maximum energy consumption reduction of 8%, approximately.

Categories

control theory, optimisation.

Scientific reference

M.A. Bermeo and C. Ocampo-Martínez. Energy efficiency improvement through MPC-based peripherals management for an industrial process test-bench, 2019 IFAC Conference on Manufacturing Modeling, Management and Control , 2019, Berlin, pp. 6, to appear.