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  • 标题:Energy efficiency improvement through MPC-based peripherals management for an industrial process test-bench
  • 本地全文:下载
  • 作者:Miguel A. Bermeo ; Carlos Ocampo-Martinez
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:13
  • 页码:648-653
  • DOI:10.1016/j.ifacol.2019.11.158
  • 语种:English
  • 出版社:Elsevier
  • 摘要: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.
  • 关键词:KeywordsIndustrial production systemsenergy management systemsefficiency enhancementpredictive control
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