ANFIS parallel hybrid modeling method for optical encoder calibration

Yanyong Wang; Fang Deng; Jian Sun; Lishuan Xu

doi:10.1109/CCDC.2012.6243010

ANFIS parallel hybrid modeling method for optical encoder calibration

Yanyong Wang^*, Fang Deng, Jian Sun, Lishuan Xu

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

A novel hybrid modeling method, combining the knowledge-based model and adaptive-network-based fuzzy inference system (ANFIS) model, is proposed in this paper. The modeling process is presented step by step. Firstly, a simulation based on a single-input nonlinear function is carried out to verify its feasibility and effectiveness, in comparison with results in the previous publication. Secondly, a calibration experiment based on a 16-bit absolute type encoder is presented. Significant improvements regarding the measurement accuracy of the encoder are achieved by employing the proposed approach with respect to original data and traditional algorithms.

Original language	English
Title of host publication	Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012
Pages	1591-1596
Number of pages	6
DOIs	https://doi.org/10.1109/CCDC.2012.6243010
Publication status	Published - 2012
Event	2012 24th Chinese Control and Decision Conference, CCDC 2012 - Taiyuan, China Duration: 23 May 2012 → 25 May 2012

Publication series

Name	Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012

Conference

Conference	2012 24th Chinese Control and Decision Conference, CCDC 2012
Country/Territory	China
City	Taiyuan
Period	23/05/12 → 25/05/12

Keywords

ANFIS
Calibration
Encoder
Knowledge-based model
Repeatability

Access to Document

10.1109/CCDC.2012.6243010

Cite this

@inproceedings{77aba666dcbb4cc0aa45f00dc76e6640,

title = "ANFIS parallel hybrid modeling method for optical encoder calibration",

abstract = "A novel hybrid modeling method, combining the knowledge-based model and adaptive-network-based fuzzy inference system (ANFIS) model, is proposed in this paper. The modeling process is presented step by step. Firstly, a simulation based on a single-input nonlinear function is carried out to verify its feasibility and effectiveness, in comparison with results in the previous publication. Secondly, a calibration experiment based on a 16-bit absolute type encoder is presented. Significant improvements regarding the measurement accuracy of the encoder are achieved by employing the proposed approach with respect to original data and traditional algorithms.",

keywords = "ANFIS, Calibration, Encoder, Knowledge-based model, Repeatability",

author = "Yanyong Wang and Fang Deng and Jian Sun and Lishuan Xu",

year = "2012",

doi = "10.1109/CCDC.2012.6243010",

language = "English",

isbn = "9781457720727",

series = "Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012",

pages = "1591--1596",

booktitle = "Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012",

note = "2012 24th Chinese Control and Decision Conference, CCDC 2012 ; Conference date: 23-05-2012 Through 25-05-2012",

}

Wang, Y, Deng, F , Sun, J & Xu, L 2012, ANFIS parallel hybrid modeling method for optical encoder calibration. in Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012., 6243010, Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012, pp. 1591-1596, 2012 24th Chinese Control and Decision Conference, CCDC 2012, Taiyuan, China, 23/05/12. https://doi.org/10.1109/CCDC.2012.6243010

ANFIS parallel hybrid modeling method for optical encoder calibration. / Wang, Yanyong; Deng, Fang ; Sun, Jian et al.
Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012. 2012. p. 1591-1596 6243010 (Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - ANFIS parallel hybrid modeling method for optical encoder calibration

AU - Wang, Yanyong

AU - Deng, Fang

AU - Sun, Jian

AU - Xu, Lishuan

PY - 2012

Y1 - 2012

N2 - A novel hybrid modeling method, combining the knowledge-based model and adaptive-network-based fuzzy inference system (ANFIS) model, is proposed in this paper. The modeling process is presented step by step. Firstly, a simulation based on a single-input nonlinear function is carried out to verify its feasibility and effectiveness, in comparison with results in the previous publication. Secondly, a calibration experiment based on a 16-bit absolute type encoder is presented. Significant improvements regarding the measurement accuracy of the encoder are achieved by employing the proposed approach with respect to original data and traditional algorithms.

AB - A novel hybrid modeling method, combining the knowledge-based model and adaptive-network-based fuzzy inference system (ANFIS) model, is proposed in this paper. The modeling process is presented step by step. Firstly, a simulation based on a single-input nonlinear function is carried out to verify its feasibility and effectiveness, in comparison with results in the previous publication. Secondly, a calibration experiment based on a 16-bit absolute type encoder is presented. Significant improvements regarding the measurement accuracy of the encoder are achieved by employing the proposed approach with respect to original data and traditional algorithms.

KW - ANFIS

KW - Calibration

KW - Encoder

KW - Knowledge-based model

KW - Repeatability

UR - http://www.scopus.com/inward/record.url?scp=84866677012&partnerID=8YFLogxK

U2 - 10.1109/CCDC.2012.6243010

DO - 10.1109/CCDC.2012.6243010

M3 - Conference contribution

AN - SCOPUS:84866677012

SN - 9781457720727

T3 - Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012

SP - 1591

EP - 1596

BT - Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012

T2 - 2012 24th Chinese Control and Decision Conference, CCDC 2012

Y2 - 23 May 2012 through 25 May 2012

ER -

ANFIS parallel hybrid modeling method for optical encoder calibration

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Keywords

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