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RESEARCH PAPERS

Hierarchical, Knowledge-Based Control in Turning

[+] Author and Article Information
R. Teltz, M. A. Elbestawi

Mechanical Engineering Department, McMaster University, Hamilton, Ontario, Canada, L8S 4L7

J. Dyn. Sys., Meas., Control 115(1), 122-132 (Mar 01, 1993) (11 pages) doi:10.1115/1.2897386 History: Received August 22, 1991; Revised June 01, 1992; Online March 17, 2008

Abstract

A heirarchical, knowledge-based controller has been developed and implemented on a CNC lathe. The system consists of an intelligent supervisor and two control subsystems. These elements are realized as concurrent tasks in a real time, multitasking system. For each tool pass, a parameter adaptive control subsystem maximizes tool feed within tool breakage and tool edge chipping constraints. A second subsystem adjusts the depth of cut on-line in reaction to the detection of the onset of chatter. Consequently, this event-driven subsystem aims to ensure a depth of cut that results in stable cutting. An intelligent supervisor coordinates these subsystems, combining a frame based knowledge base with a real-time inference engine. The intelligent supervisor, having precedence over the other system elements, directs the control objective of this hierarchical control system. Cutting tests are performed to verify the controller performance in real time. Experimental results are presented.

Copyright © 1993 by The American Society of Mechanical Engineers
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