Control Scheme for Automatically Controlling the Milling System in between Optimal Working Points

L. Rubio, A. P. Longstaff, S. Fletcher, A. Myers, M. De La Sen

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

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 publicationProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics
Subtitle of host publicationSMC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1628-1633
Number of pages6
ISBN (Electronic)9781479906529
ISBN (Print)9780769551548
DOIs
Publication statusPublished - 27 Jan 2014
Event2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 - Manchester, United Kingdom
Duration: 13 Oct 201316 Oct 2013

Conference

Conference2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
CountryUnited Kingdom
CityManchester
Period13/10/1316/10/13

Fingerprint

Milling (machining)
Cost functions
Materials properties
Switches
Controllers

Cite this

Rubio, L., Longstaff, A. P., Fletcher, S., Myers, A., & De La Sen, M. (2014). Control Scheme for Automatically Controlling the Milling System in between Optimal Working Points. In Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics: SMC 2013 (pp. 1628-1633). [6722034] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2013.281
Rubio, L. ; Longstaff, A. P. ; Fletcher, S. ; Myers, A. ; De La Sen, M. / Control Scheme for Automatically Controlling the Milling System in between Optimal Working Points. Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics: SMC 2013. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 1628-1633
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Rubio, L, Longstaff, AP, Fletcher, S, Myers, A & De La Sen, M 2014, Control Scheme for Automatically Controlling the Milling System in between Optimal Working Points. in Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics: SMC 2013., 6722034, Institute of Electrical and Electronics Engineers Inc., pp. 1628-1633, 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, Manchester, United Kingdom, 13/10/13. https://doi.org/10.1109/SMC.2013.281

Control Scheme for Automatically Controlling the Milling System in between Optimal Working Points. / Rubio, L.; Longstaff, A. P.; Fletcher, S.; Myers, A.; De La Sen, M.

Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics: SMC 2013. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1628-1633 6722034.

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

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Rubio L, Longstaff AP, Fletcher S, Myers A, De La Sen M. Control Scheme for Automatically Controlling the Milling System in between Optimal Working Points. In Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics: SMC 2013. Institute of Electrical and Electronics Engineers Inc. 2014. p. 1628-1633. 6722034 https://doi.org/10.1109/SMC.2013.281