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Reducing energy consumption in an industrial process by using model predictive control

Author
Caiza, L.; Rosich, A.; Ocampo-Martinez, C.A.; Benitez, D.
Type of activity
Presentation of work at congresses
Name of edition
2017 IEEE International Autumn Meeting on Power, Electronics and Computing
Date of publication
2017
Presentation's date
2017
Book of congress proceedings
2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)
First page
1
Last page
6
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/ROPEC.2017.8261618 Open in new window
Repository
http://hdl.handle.net/2117/119383 Open in new window
URL
https://ieeexplore.ieee.org/document/8261618/ Open in new window
Abstract
In this paper, we propose to use Model Predictive Control techniques to reduce the energy consumption in an industrial process by incorporating energy consumption restrictions in the problem formulation. We propose to use a Model Predictive Control supervisor to calculate the optimum references for simple control loops regulated by individual PID controllers. The results obtained are compared against those obtained when a traditional control strategy exclusively based on PID controllers was used...
Citation
Caiza, L., Rosich, A., Ocampo-Martinez, C.A., Benitez, D. Reducing energy consumption in an industrial process by using model predictive control. A: IEEE International Autumn Meeting on Power, Electronics and Computing. "2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)". Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 1-6.
Keywords
Control loop, Control strategies, Electric control equipment, Energy Reduction, Energy reduction, Energy utilization, Identification (control systems), Industrial processs, Model Predictive Control, Model predictive control, PID control, PID controllers, Problem formulation, Proportional control systems, Reducing energy consumption, Supervisory control strategy, System Identification Controllers, Three term control systems
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants

  • Caiza Chicaiza, Luis Alberto  (author and speaker )
  • Rosich Oliva, Albert  (author and speaker )
  • Ocampo Martinez, Carlos A.  (author and speaker )
  • Benitez, Diego  (author and speaker )