Neural network control method for high turning accuracy of complex profile

Tingzhang Liu; Bingheng Lu; Yanbo Hui; Junjie Wang; Chongxian Gu

Neural network control method for high turning accuracy of complex profile

Tingzhang Liu
, Bingheng Lu
, Yanbo Hui
, Junjie Wang
, Chongxian Gu

School of Mechanical Engineering

Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

Abstract

An artificial neural network(ANN) method for high shape accuracy control is proposed. A multi-layered neural network is trained off - line to identify the inverse model of the machining system. The inverse model is employed to tune the system. As a result, the output is obtained as close as possible to the desired input and machining error is minimized. It is shown, by experiments of turning the piston with middle - convex shape and variable ellipticity, that this control scheme can improve machining accuracy effectively.

Original language	English
Pages (from-to)	59+71
Journal	Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering
Volume	33
Issue number	2
State	Published - 1997

Keywords

Complex profile
Control
Inverse model
Neural network
Turning

Cite this

@article{f1f5bb353ba34eb6b137ab8e3334fa37,

title = "Neural network control method for high turning accuracy of complex profile",

abstract = "An artificial neural network(ANN) method for high shape accuracy control is proposed. A multi-layered neural network is trained off - line to identify the inverse model of the machining system. The inverse model is employed to tune the system. As a result, the output is obtained as close as possible to the desired input and machining error is minimized. It is shown, by experiments of turning the piston with middle - convex shape and variable ellipticity, that this control scheme can improve machining accuracy effectively.",

keywords = "Complex profile, Control, Inverse model, Neural network, Turning",

author = "Tingzhang Liu and Bingheng Lu and Yanbo Hui and Junjie Wang and Chongxian Gu",

year = "1997",

language = "英语",

volume = "33",

pages = "59+71",

journal = "Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering",

issn = "0577-6686",

publisher = "Chinese Mechanical Engineering Society",

number = "2",

}

TY - JOUR

T1 - Neural network control method for high turning accuracy of complex profile

AU - Liu, Tingzhang

AU - Lu, Bingheng

AU - Hui, Yanbo

AU - Wang, Junjie

AU - Gu, Chongxian

PY - 1997

Y1 - 1997

N2 - An artificial neural network(ANN) method for high shape accuracy control is proposed. A multi-layered neural network is trained off - line to identify the inverse model of the machining system. The inverse model is employed to tune the system. As a result, the output is obtained as close as possible to the desired input and machining error is minimized. It is shown, by experiments of turning the piston with middle - convex shape and variable ellipticity, that this control scheme can improve machining accuracy effectively.

AB - An artificial neural network(ANN) method for high shape accuracy control is proposed. A multi-layered neural network is trained off - line to identify the inverse model of the machining system. The inverse model is employed to tune the system. As a result, the output is obtained as close as possible to the desired input and machining error is minimized. It is shown, by experiments of turning the piston with middle - convex shape and variable ellipticity, that this control scheme can improve machining accuracy effectively.

KW - Complex profile

KW - Control

KW - Inverse model

KW - Neural network

KW - Turning

UR - https://www.scopus.com/pages/publications/3943090587

M3 - 文章

AN - SCOPUS:3943090587

SN - 0577-6686

VL - 33

SP - 59+71

JO - Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering

JF - Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering

IS - 2

ER -

Neural network control method for high turning accuracy of complex profile

Abstract

Keywords

Other files and links

Fingerprint

Cite this