A Fuzzy Self-Learning Control Method with Application to Hydroforming Processes

[+] Author and Article Information
H. J. Park, H. S. Cho

Department of Precision Engineering and Mechatronics, Korea Advanced Institute of Science and Technology, 373-1 Kusong-dong Yussong-gu, Taejon, 375-701, Korea

J. Eng. Ind 117(3), 297-303 (Aug 01, 1995) (7 pages) doi:10.1115/1.2804334 History: Received August 01, 1992; Revised September 01, 1993; Online January 17, 2008


In this paper, a tracking control of hydroforming pressure which is used for precision forming of sheet metals, is considered. In this process, forming pressure of the process needs to be strictly controlled to ensure high quality of the forming products. However, conventional control method alone makes it difficult to achieve satisfactory control performance due to complexities and uncertainties of the process. To overcome this problem, a fuzzy self-learning control scheme is proposed. In the proposed scheme, a series of experiments were performed to show the effectiveness of the proposed control scheme and to investigate influence of the design parameters of the proposed algorithm. The experimental results show that the proposed fuzzy self-learning controller can guarantee good tracking performance and thus, high quality of products even when knowledge of the process is vague, imprecise and fragmentary.

Copyright © 1995 by The American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.





Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In