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 conferencePoster

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.

Workshop

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

Fingerprint

Linearization
Cost functions
Transfer functions
Control systems

Keywords

  • cutting parameters
  • milling processes
  • intelligent control systems

Cite this

Rubio, L., Longstaff, A., Fletcher, S., & Myers, A. (2013). Towards an intelligent, open and modular control architecture for automating the milling process. 54. Poster session presented at 2nd Annual EPSRC Manufacturing the Future Conference, United Kingdom.
Rubio, Luis ; Longstaff, Andrew ; Fletcher, Simon ; Myers, Alan. / Towards an intelligent, open and modular control architecture for automating the milling process. Poster session presented at 2nd Annual EPSRC Manufacturing the Future Conference, United Kingdom.1 p.
@conference{5e03a643ef234165940d0fcb27c8fb8d,
title = "Towards an intelligent, open and modular control architecture for automating the milling process",
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.",
keywords = "cutting parameters, milling processes, intelligent control systems",
author = "Luis Rubio and Andrew Longstaff and Simon Fletcher and Alan Myers",
year = "2013",
month = "9",
day = "17",
language = "English",
pages = "54",
note = "2nd Annual EPSRC Manufacturing the Future Conference ; Conference date: 17-09-2013 Through 18-09-2013",

}

Rubio, L, Longstaff, A, Fletcher, S & Myers, A 2013, 'Towards an intelligent, open and modular control architecture for automating the milling process' 2nd Annual EPSRC Manufacturing the Future Conference, United Kingdom, 17/09/13 - 18/09/13, pp. 54.

Towards an intelligent, open and modular control architecture for automating the milling process. / Rubio, Luis; Longstaff, Andrew; Fletcher, Simon; Myers, Alan.

2013. 54 Poster session presented at 2nd Annual EPSRC Manufacturing the Future Conference, United Kingdom.

Research output: Contribution to conferencePoster

TY - CONF

T1 - Towards an intelligent, open and modular control architecture for automating the milling process

AU - Rubio, Luis

AU - Longstaff, Andrew

AU - Fletcher, Simon

AU - Myers, Alan

PY - 2013/9/17

Y1 - 2013/9/17

N2 - 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.

AB - 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.

KW - cutting parameters

KW - milling processes

KW - intelligent control systems

UR - http://www.ukmanufacturing.org/MTF2013.htm

M3 - Poster

SP - 54

ER -

Rubio L, Longstaff A, Fletcher S, Myers A. Towards an intelligent, open and modular control architecture for automating the milling process. 2013. Poster session presented at 2nd Annual EPSRC Manufacturing the Future Conference, United Kingdom.