Control scheme for automatically controlling the milling system in between optimal working points

Luis Rubio, Andrew Longstaff, Simon Fletcher, Alan Myers, Manuel De la Sen

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

This paper presents a novel control architecture system which is composed of a multi-objective cost function which Pareto optimizes the programming of cutting parameters while controlling the milling process to new cutting conditions if new constraints appear. The paper combines a self-optimized module which looks for and finds Pareto optimal cutting parameters according to multi-objective purposes and, a multi-model control module which keeps the cutting forces under prescribed upper safety limits independently of programmed cutting conditions and material properties while maintaining the performance of the process. An intelligent algorithm acts as decision supportsoftware to automatically switch to the best performance tracking controller among those available at each required time.
Original languageEnglish
Title of host publicationIEEE International Conference on Systems, Man and Cybernetics (SMC), 2013
PublisherIEEE
Pages1628-1633
Number of pages6
DOIs
Publication statusPublished - Oct 2013

Keywords

  • control systems
  • milling
  • adaptive control
  • Pareto optimal cutting parameters

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  • Cite this

    Rubio, L., Longstaff, A., Fletcher, S., Myers, A., & De la Sen, M. (2013). Control scheme for automatically controlling the milling system in between optimal working points. In IEEE International Conference on Systems, Man and Cybernetics (SMC), 2013 (pp. 1628-1633). IEEE. https://doi.org/10.1109/SMC.2013.281