By Topic

Application of stochastic optimal control to thin rib machining

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Anjanappa, M. ; Dept. of Mech. Eng., Univ. of Maryland Baltimore County, Baltimore, MD, USA ; Anand, D.K. ; Kirk, J.A.

The optimal control of stochastic systems, such as a thin rib machining process, can lead to improved productivity and enhanced accuracy. The paper addresses the problem of identification and optimal control of stochastic tool path error in a thin rib machining process, both analytically and experimentally. Tool path error, in numerically controlled machines, consists of both deterministic and stochastic components and is defined as the vector difference between the programmed path and the actual path taken by the tool relative to the workpiece. A methodology is developed to identify the cutting process parameters based on experimental data from the thin rib machining of microwave guides. An LQG optimal controller was designed to minimise the stochastic tool path error. The results of optimal controller simulation are discussed. The microprocessor- based online optimal controller was validated, on a small computer numerically controlled (CNC) milling machine, to demonstrate improved performance in the thin rib machining of microwave guides

Published in:

Control Theory and Applications, IEE Proceedings D  (Volume:138 ,  Issue: 3 )