Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/103242
Title: FPGA implementation of sensorless sliding mode observer with a novel rotation direction detection for PMSM drives
Authors: Ma, Zhixun
Zhang, Xin
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Sensorless Control
Sliding Mode Observer
Issue Date: 2018
Source: Ma, Z., & Zhang, X. (2018). FPGA implementation of sensorless sliding mode observer with a novel rotation direction detection for PMSM drives. IEEE Access, 6, 55528-55536. doi:10.1109/ACCESS.2018.2871730
Series/Report no.: IEEE Access
Abstract: This paper proposes an field programmable gate array (FPGA) implementation of a sensorless controller for surface mounted permanent magnet synchronous machines. Position and speed are both estimated by a sliding mode observer (SMO) which is based on the PMSM stator frame model. The sliding mode manifold is chosen on the real stator current trajetory. In the SMO, a sign function of current error in the feedback correction is adopted. The estimated speed and position are realized on an FPGA controller by COordinate Rotation Digital Computer (CORDIC) algorithm. Using model-based design, with the tools of MATLAB/Simulink and hardware description language coder, the whole control system is designed and implemented in a single FPGA chip. Dedicated hardware optimization algorithms such as pipeline and resource sharing are developed for the implementation as well. The sign function is realized by fully hardware with a relatively high switching frequency. Meanwhile, a fast and practical rotation direction detection method which is based on back electromotive force information is proposed. Experimental results show that the proposed FPGA implemented sensorless SMO for PMSM drives is robust and has high performance.
URI: https://hdl.handle.net/10356/103242
http://hdl.handle.net/10220/47286
DOI: 10.1109/ACCESS.2018.2871730
Schools: School of Electrical and Electronic Engineering 
Rights: © 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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