Control Scheme for Automatically Controlling the Milling System in between Optimal Working Points

This paper presents a novel control architecture system which is composed of a multi-objective cost function which Pareto optimizes the programming of cutting parameters while controlling the milling process to new cutting conditions if new constraints appear. The paper combines a self-optimized mod...

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Bibliographic Details
Main Authors: Rubio, L., Longstaff, A.P., Fletcher, S., Myers, A., De La Sen, M.
Format: Conference Proceeding
Language:English
Subjects:
control
Control systems
Cost function
Equations
Feeds
forces
intelligent
Mathematical model
Milling
optimization
Transfer functions
Online Access:Request full text
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Summary:This paper presents a novel control architecture system which is composed of a multi-objective cost function which Pareto optimizes the programming of cutting parameters while controlling the milling process to new cutting conditions if new constraints appear. The paper combines a self-optimized module which looks for and finds Pareto optimal cutting parameters according to multi-objective purposes and, a multi-model 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. An intelligent algorithm acts as decision support-software to automatically switch to the best performance tracking controller among those available at each required time.
ISSN:1062-922X
2577-1655
DOI:10.1109/SMC.2013.281