A prototype for a supervising controller for machining applications is here proposed. The controller relies on the definition of an optimal control problem that aims at calculating the sequence of controls (feed rate and tool speed) that minimize a multi-objective target function. The target function allows to selectively prioritize terms related to the productivity, energy consumption, tool wear, and surface quality, by individually setting their relative weights (the case of all equal weights represents a balanced optimization.) The implementation of the proposed system on a real machine tool is briefly outlined, and the results of real machining tests are reported and compared to those obtained by typical machining on the same machine tool.

Application of Optimal Control Theory to Milling Process / Bosetti, P.; Biral, F.. - (2014), pp. 4896-4901. ( IECON Dallas, TX, USA 29 October 2014 - 01 November 2014) [10.1109/IECON.2014.7049243].

Application of Optimal Control Theory to Milling Process

Bosetti P.;Biral F.
2014-01-01

Abstract

A prototype for a supervising controller for machining applications is here proposed. The controller relies on the definition of an optimal control problem that aims at calculating the sequence of controls (feed rate and tool speed) that minimize a multi-objective target function. The target function allows to selectively prioritize terms related to the productivity, energy consumption, tool wear, and surface quality, by individually setting their relative weights (the case of all equal weights represents a balanced optimization.) The implementation of the proposed system on a real machine tool is briefly outlined, and the results of real machining tests are reported and compared to those obtained by typical machining on the same machine tool.
2014
IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society
Dallas, TX, USA
Institute of Electrical and Electronics Engineers Inc.
978-1-4799-4032-5
Bosetti, P.; Biral, F.
Application of Optimal Control Theory to Milling Process / Bosetti, P.; Biral, F.. - (2014), pp. 4896-4901. ( IECON Dallas, TX, USA 29 October 2014 - 01 November 2014) [10.1109/IECON.2014.7049243].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/282245
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