Open Access
| Issue |
ITM Web Conf.
Volume 11, 2017
2017 International Conference on Information Science and Technology (IST 2017)
|
|
|---|---|---|
| Article Number | 07002 | |
| Number of page(s) | 10 | |
| Section | Session VII: Control and Automation | |
| DOI | https://doi.org/10.1051/itmconf/20171107002 | |
| Published online | 23 May 2017 | |
- X. Tang, W. Chen. A simple method about eliminating eccentricity error. Computation Technique. 7, 39–40(1996). [Google Scholar]
- J. Tan, Y. Qin. Simulation Model of Optical Encoder and Estimation of Instantaneous Velocity for a Motor. Electric Drive. 2, 41–43(2001). [Google Scholar]
- Y. Fang. Studies on digital addition technology in incremental encoder. Master’s Thesis Graduate University of Chinese Academy of Sciences. 2005. [Google Scholar]
- R. Zhao, Z. Zhang, J. Tie. Influence of Encoder Eccentricity on Speed Measurement and Elimination Approach. International Conference on Network Computing and Information Security. 63–66 (2011). [Google Scholar]
- X. Ma, R. Zhao. High precision rotating speed measuring device. China. Utility Models. ZL200720141299.8. 2008–3–12. [Google Scholar]
- Z. Cai, R. Zhao, F. Cheng. Research on Digital Estimation Method of Motor Speed and Rotor Position. Electric Drive. 37(8), 12–14(2007). [Google Scholar]
- Q. Yu, K. Liu, C. Wang, W. Yuan, W. Qian, C. Zhang. Choice of Optical-encoder and Measure of Speed and Rotor Place of Synchronous Motor. Electric Drive. 36(4), 17–20(2006). [Google Scholar]
- D. Mancini, M. Brescia, E. Cascone, F. Cortecchia, P. Schipani. Encoder system design: strategies for error compensation. Proc. SPIE. 3351, 380–386(1998). [Google Scholar]
- Y. Matsuzoe, N. Tsuji. Breadboard system and techniques to optimize the optical system of an encoder. Optical Engineering. 40(2), 283–288(2001). [Google Scholar]
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