✦ LIBER ✦

Adaptive learning control of milling operations

✍ Scribed by Y.S. Tarng; S.T. Hwang

Publisher: Elsevier Science
Year: 1995
Tongue: English
Weight: 617 KB
Volume: 5
Category: Article
ISSN: 0957-4158
DOI: 10.1016/0957-4158(95)00056-b

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✦ Synopsis

An adaptive learning control of milling operations in order to improve productivity is presented. Basically, the proposed control system consists of two parts. A feedforward neural network is first developed to acquire the inverse-dynamics model of the controlled plant. Then, a fuzzy feedback mechanism is designed to perform an adaptive modification of connection weights for the feedforward neural network. Based on this control system, an on-line adjustment of feedrate to achieve a constant milling force under a variety of cutting conditions is shown.

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