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.
|Number of pages||1|
|Publication status||Published - 17 Sep 2013|
|Event||2nd Annual EPSRC Manufacturing the Future Conference - Cranfield University, United Kingdom|
Duration: 17 Sep 2013 → 18 Sep 2013
|Workshop||2nd Annual EPSRC Manufacturing the Future Conference|
|Period||17/09/13 → 18/09/13|
- cutting parameters
- milling processes
- intelligent control systems
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.