Research of Absolute Sensorless Cutting Force Induced Error Compensation System

DOI

10.2991/emeit.2012.482How to use a DOI?

Keywords

Absolute sensorless, CFIE, Artificial neural network, Compensation system.

Abstract

Based on the on the already established compensations systems, mechanistic modeling, a sensorless systems is attained. In this Artificial Neural Networks are used to learn through mimicking of the machining parameters with reference to the existing Compensations systems, Finally the performance of the Network is tested and deductions are made for future sensorless systems. After the equilibrium between the output and desired values, then the ANN is fully trained and ready for deployment, Designed net works can be conveniently implemented on general computers as well as independent processors.

Copyright

© 2012, 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  - Xiaolong Shen
AU  - Meilin Li
AU  - Nanlin Yu
PY  - 2012/09
DA  - 2012/09
TI  - Research of Absolute Sensorless Cutting Force Induced Error Compensation System
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 2176
EP  - 2180
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.482
DO  - 10.2991/emeit.2012.482
ID  - Shen2012/09
ER  -