This paper presents a novel control architecture system which is composed of a multi-objective cost function which Pareto optimises the programming of cutting parameters while adapting the milling process to new cutting conditions if new constraints appear. The paper combines a self-optimised module which looks for and finds Pareto optimal cutting parameters according to multi-objective purposes and, a multi-estimation adaptive 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. A supervised controller acts as decision support-software to automatically switch to best performance tracking adaptive controller among those available at each required time.
|Publication status||Published - Mar 2013|
|Event||Lamdamap 10th International Conference - Chicheley Hall , Chester, United Kingdom|
Duration: 20 Mar 2013 → 21 Mar 2014
|Conference||Lamdamap 10th International Conference|
|Period||20/03/13 → 21/03/14|
- control architecture system
- cutting parameters
- self-adaptive milling processes
Rubio, L., Longstaff, A., Fletcher, S., & Myers, A. (2013). Towards self-optimizing and self-adaptive milling processes. Paper presented at Lamdamap 10th International Conference, Chester, United Kingdom.