Abstract
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.
Original language | English |
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Publication status | Published - Mar 2013 |
Event | Lamdamap 10th International Conference - Chicheley Hall , Chester, United Kingdom Duration: 20 Mar 2013 → 21 Mar 2014 |
Conference
Conference | Lamdamap 10th International Conference |
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Country | United Kingdom |
City | Chester |
Period | 20/03/13 → 21/03/14 |
Keywords
- control architecture system
- cutting parameters
- self-adaptive milling processes