Title: Research on error compensation method of encoder signal based on cloud computing

Authors: Yanjun Sun; Haiyan Zhao; Juanjuan Liu

Addresses: School of Information Science and Engineering, Tianjin Tianshi College, Tianjin 301700, China ' School of Information Science and Engineering, Tianjin Tianshi College, Tianjin 301700, China ' School of Information Science and Engineering, Tianjin Tianshi College, Tianjin 301700, China

Abstract: In order to improve the performance of encoder signal error compensation, this paper proposes a method of encoder signal error compensation based on cloud computing. This method uses near-field source model to build encoder signal transmission model under cloud computing, and uses wavelet to realise encoder signal reorganisation under cloud computing transmission control protocol. At last, the mixed code interference suppression method and the hardware compensation method are adopted to realise the error compensation of encoder signal and bus control and improve the error compensation ability of encoder output signal. The experimental results show that the amplitude, phase and offset of each code channel of the encoder using cloud computing are reduced by 49.82% on average compared with the traditional signal error compensation.

Keywords: cloud computing; encoder; signal; error compensation; system design; near-field source model; wavelet.

DOI: 10.1504/IJAACS.2021.119121

International Journal of Autonomous and Adaptive Communications Systems, 2021 Vol.14 No.4, pp.384 - 397

Received: 14 Feb 2020
Accepted: 31 Aug 2020
Published online: 23 Nov 2021 *

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