A fast algorithm for on-line machining process modeling and adaptive control

S. D. Fassois, K. F. Eman, S. M. Wu

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

A fast, on-line algorithm for machining process modeling and control is proposed. The modeling is accomplished via a new recursive estimator that offers good accuracy at a minimal computational load. Its Fast Kalman-type version, that further reduces its computational complexity, is also presented. The adaptive controller, which is based on on-line identification and closed-loop pole assignment, is characterized by a low computational load and no need for a priori process information. The analytical results are supplemented by numerical simulations, where the proposed scheme is used for the control of a turning operation and shown to offer very good performance under noisy conditions and suddenly changing machining dynamics.

Original languageEnglish (US)
Pages (from-to)133-139
Number of pages7
JournalJournal of Manufacturing Science and Engineering, Transactions of the ASME
Volume111
Issue number2
DOIs
StatePublished - May 1989

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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