Research on Improved Resolver-to-Digital Conversion Method and Its Application Based on FPGA
- DOI
- 10.2991/978-94-6463-022-0_4How to use a DOI?
- Keywords
- RDC; Servo; Motor Control; FPGA
- Abstract
According to the demand of high integration of servo motor control system, a method of resolver-to-digital conversion (RDC) based on FPGA is proposed. This method adopts the technology of synchronous excitation and peak sampling, which can realize the peak sampling of sine signal and cosine signal of resolver through low-speed and high-precision ADC. The method realizes high-precision angle-to-digital conversion by CORDIC algorithm and closed-loop tracking algorithm. Based on the principle of this method, a improved servo motor controller is developed and applied to the servo system. The comparison test between the improved servo motor controller and the traditional controller is carried out. The test results show that the resolver-to-digital conversion method is correct and feasible. The improved controller developed based on this method has normal function and better dynamic characteristics.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Qijia Zheng AU - Shuping Meng AU - Sixian Sun AU - Yang Jiang AU - Yang Hu PY - 2022 DA - 2022/12/07 TI - Research on Improved Resolver-to-Digital Conversion Method and Its Application Based on FPGA BT - Proceedings of the International Conference of Fluid Power and Mechatronic Control Engineering (ICFPMCE 2022) PB - Atlantis Press SP - 25 EP - 35 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-022-0_4 DO - 10.2991/978-94-6463-022-0_4 ID - Zheng2022 ER -