A model predictive control interpretation of the generalized split-range control

Authors

  • José Diogo Forte de Oliveira Luna Instituto Federal de Rondônia
  • Rafael Oliveira Pedrisch Instituto Federal de Rondônia
  • João Victor Bezerra da Silva Instituto Federal de Rondônia
  • José Souto Guimarães Ferreira Júnior Instituto Federal de Rondônia
  • Carlos Henrique Azevedo Guimarães Instituto Federal de Rondônia
  • Kariston Dias Alves Instituto Federal de Rondônia
  • Julio Elias Normey-Rico Universidade Federal de Santa Catarina

DOI:

https://doi.org/10.20906/CBA2024/4340

Keywords:

Model predictive control, split-range control, MISO systems, classical advanced control, optimization

Abstract

This study presents a Model Predictive Control (MPC) interpretation of the Generalized Split-Range Control (GSRC), focusing on a novel Mixed-Integer Quadratic Programming (MIQP) formulation that enforces sequential actuator usage. By replicating the input sequencing behavior of the GSRC, the proposed MPC controller allows for economically efficient decisions regarding input usage. In order to show this behavior, the same case study of the original paper on GSRC was simulated, comparing both approaches. The study suggests that while GSRC implementation may be more suitable for smaller processes, integrating the proposed MPC approach into larger industrial settings with existing MPC controllers could offer an equally economic efficient alternative to incorporate split-range economic properties.

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Published

2024-10-18

Issue

Section

Articles