Towards an intelligent, open and modular control architecture for automating the milling process

Luis Rubio, Andrew Longstaff, Simon Fletcher, Alan Myers

Research output: Contribution to conferencePosterpeer-review

Abstract

This research work describes an intelligent, open and modular architecture for controlling the milling process. It is based on models of the milling process. The dynamic equation leads to the time-domain and the well-known stability plots. The linearization around the equilibrium point is represented by transfer functions. The fundamental idea of the control system is to work automatically, with a simple interface with the operator, based around the admissible cutting parameter space given by the well-known stability lobes. First, the optimization of a multi-objective cost function is used to obtain the cutting parameters. Secondly, the adaptive control scheme proposes different control laws working in parallel to address the non-linear and changeable milling process. Finally, the supervisory scheme manages the system so it can work automatically in between optimal working points.
Original languageEnglish
Pages54
Number of pages1
Publication statusPublished - 17 Sept 2013
Event2nd Annual EPSRC Manufacturing the Future Conference - Cranfield University, United Kingdom
Duration: 17 Sept 201318 Sept 2013

Workshop

Workshop2nd Annual EPSRC Manufacturing the Future Conference
Country/TerritoryUnited Kingdom
Period17/09/1318/09/13

Keywords

  • cutting parameters
  • milling processes
  • intelligent control systems

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