Study of Self-organizing Fuzzy Neural Network Control for Flexible Material Path Processing Tangent Following Error Compensation
- https://doi.org/10.2991/icadme-15.2015.333How to use a DOI?
- Flexible material path processing,Tangent following,Error compensation, Self-organizing fuzzy neural network control
The control rules of fuzzy neural network controller for flexible material path processing tangent following are acquired depending on prior knowledge of designers and experts in previous studies, this leads to the difficulty and error of the preliminary calculation. The paper studies and designs self-organizing fuzzy neural network, completes offline training through fuzzy reasoning, realizes the simulation of process knowledge and experience, and the control quantity is given according to the controlled process consequently the deformation compensation scheme is obtained. The simulation shows that the self-organizing fuzzy neural network controller has better effect on tangent following error compensate for the flexible material path processing .
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yaohua Deng AU - Xiali Liu AU - Liming Wu AU - Qiaofen Zhang PY - 2015/10 DA - 2015/10 TI - Study of Self-organizing Fuzzy Neural Network Control for Flexible Material Path Processing Tangent Following Error Compensation BT - Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering PB - Atlantis Press SP - 1808 EP - 1812 SN - 2352-5401 UR - https://doi.org/10.2991/icadme-15.2015.333 DO - https://doi.org/10.2991/icadme-15.2015.333 ID - Deng2015/10 ER -