ANFIS parallel hybrid modeling method for optical encoder calibration

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

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

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.

源语言英语
主期刊名Proceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012
1591-1596
页数6
DOI
出版状态已出版 - 2012
活动2012 24th Chinese Control and Decision Conference, CCDC 2012 - Taiyuan, 中国
期限: 23 5月 201225 5月 2012

出版系列

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

会议

会议2012 24th Chinese Control and Decision Conference, CCDC 2012
国家/地区中国
Taiyuan
时期23/05/1225/05/12

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