ANFIS Parallel Hybrid Modeling Method for Optical Encoder Calibration
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.
Encoder ANFIS Calibration Knowledge-based model Repeatability.
WANG Yanyong DENG Fang SUN Jian XU Lishuan
School of Automation, Beijing Institute of Technology, Beijing 100081 Laboratory of Complex System I School of Automation, Beijing Institute of Technology, Beijing 100081 Laboratory of Complex System I
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
1603-1608
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）