Self-organizing Fuzzy Logic Control of Two Dimensional End Milling
Abstract
A system for control of two dimensional end milling operations is presented in this paper. In order to achieve high quality products and high production rates in 2-D end milling, it is important to minimize the tracking error and contouring error, and regulate the cutting force while maximizing the feedrate. Given the complexity of the cutting operations, it is difficult to determine what rules are needed to satisfactory accomplished the above. The Self-Organizing Fuzzy logic Controller is capable of accomplishing force regulation because it does not require prior knowledge of the system and is able to generate and modify the control rules. A hybrid controller is also presented in this paper, which is composed of an ordinary Fuzzy Logic Controller and a Self-Organizing Fuzzy Logic Controller. This new controller, called a Self- Paced Fuzzy Controller, will be used to minimize the contouring error. The benefit of this hybrid system is that initial rules can be provided to the system that can be updated as the controller learns about the system's performance. The control system is simulated and the results are presented.
Recommended Citation
M. A. Crawford and C. H. Dagli, "Self-organizing Fuzzy Logic Control of Two Dimensional End Milling," Proceedings of SPIE, SPIE -- The International Society for Optical Engineering, Apr 1998.
The definitive version is available at https://doi.org/10.1117/12.304809
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
2-D End Milling; Cutting Force; End Milling Operations; Feedrate
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 1998 SPIE -- The International Society for Optical Engineering, All rights reserved.
Publication Date
01 Apr 1998
