Study of Self-organizing Fuzzy Neural Network Control for Flexible Material Path Processing Tangent Following Error Compensation

DOI

10.2991/icadme-15.2015.333How to use a DOI?

Keywords

Flexible material path processing,Tangent following,Error compensation, Self-organizing fuzzy neural network control

Abstract

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 .

Copyright

© 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/).

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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  - 10.2991/icadme-15.2015.333
ID  - Deng2015/10
ER  -