Intelligent adaptive control of forces in milling processes

Rubio, Luis and De la Sen, Manuel and Bilbao, Aitor; (2007) Intelligent adaptive control of forces in milling processes. In: Mediterranean Conference on Control & Automation, 2007. IEEE, Piscataway, New Jersey, pp. 1-6. ISBN 9781424412815 (

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Intelligent schedules has gained attention in manufacture environments due to increase competence. In this paper an intelligent adaptive discrete control is applied to a practical milling system in order to minimize process malfunctions. Two hierarchical supervisory levels compose the control: tuning and switching. The continuous unknown milling transfer function is discretized under a set of fractional order hold of correcting gains beta epsi [-1,1] (beta-FROH) running in parallel. Each discrete plant parameter is tuned with a recursive least square algorithm. The correcting gain beta of (beta-FROH )is switched within the given set in order to generate the optimal real control input to the plant through the minimization of a estimated error tracking performance index which evaluates the tracking error. The intelligent supervisory scheme chooses online the one with the smallest value has at each multiple of the residence time.