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  • 标题:Model Predictive Control of an Automated Storage/Retrieval System
  • 本地全文:下载
  • 作者:Danielle J. Nativ ; Andrea Cataldo ; Riccardo Scattolini
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:12
  • 页码:1335-1340
  • DOI:10.1016/j.ifacol.2016.07.745
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Discrete-event systems occur often in the manufacturing field, but due to the characteristics of these systems Model Predictive Control (MPC) is not frequently used for them. This paper approaches MPC of an Automated Storage/Retrieval System (AS/RS) by using Mixed Logical Dynamical (MLD) modelling. Propositional calculus is used to transform the non-linear dynamic model equations and constraints of the AS/RS into the MLD form. We consider a performance index that makes sure that customer demand is satisfied as soon and as efficiently as possible. The MLD model and performance index are reformulated as an integer linear programming problem. A case study is performed on a laboratory stacker crane, and the simulations results illustrate the good performance of the control algorithm.
  • 关键词:Control applicationsManufacturing systemsProduction processesWarehouse automationSelf-organising storageModel-based controlPredictive controlDiscrete-event systemsInteger programming
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