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FPGA realization of sensorless PMSM speed controller based on extended kalman filter

Kung Y.-S. Department of Electrical Engineering, Southern Taiwan University of Science and Technology, 1 Nan-Tai Street, Yong-Kang District, Tainan City 710, Taiwan|
Lin J.-M. | Trung Hieu N. | Vu Quynh N. Department of Electrical Engineering, Lac Hong University, 10 Huynh Van Nghe Street, Buu Long District, Bien Hoa City 084, Dong Nai Province, Viet Nam|

Mathematical Problems in Engineering Số , năm 2013 (Tập 2013, trang -)

ISSN: 1024123X

ISSN: 1024123X

DOI: 10.1155/2013/919318

Tài liệu thuộc danh mục: ISI, Scopus

Article

English

Từ khóa: Co-ordinate transformation; Experimental system; FPGA implementations; Permanent magnet synchronous motor drives; Sensor less control; Sensorless speed control; Space vector pulse width modulation; Speed controller; Computer hardware description languages; Field programmable gate arrays (FPGA); Mathematical models; Permanent magnets; Pulse width modulation; Speed control; Synchronous motors; Extended Kalman filters
Tóm tắt tiếng anh
Based on extended Kalman filter (EKF), the design and FPGA implementation of a sensorless control intellectual property (IP) for permanent magnet synchronous motor (PMSM) drive are presented in this paper. Firstly, the mathematical model for PMSM is derived and the vector control is built up. Secondly, the rotor flux angle (FA) and rotor speed which are estimated by using EKF are described. These estimated values are feedbacked to the current loop for vector control and to the speed loop for speed control. Thirdly, the very-high-speed IC hardware description language (VHDL) is adopted to describe the behavior of the sensorless speed control IP which includes the circuits of space vector pulse width modulation (SVPWM), coordinate transformation, EKF, and PI controller. Finally, to evaluate the effectiveness and correctness of the proposed of system, a cosimulation work performed by Simulink and ModelSim is firstly conducted. Then, an experimental system by FPGA chip and motor driving board is set up to further validate the performance of the proposed EKF-based sensorless speed control IP. � 2013 Ying-Shieh Kung et al.

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