Comb-Assisted Real-Time Discrete Fourier Transform Processor

2017 ◽  
Author(s):  
H. Hu ◽  
D. J. Esman ◽  
V. Ataie ◽  
E. Temprana ◽  
B. P.-P. Kuo ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Real Time ◽  
Discrete Fourier Transform

The use of neural network and discrete Fourier transform for real-time evaluation of friction stir welding

2011 ◽  
Vol 11 (8) ◽  
pp. 4839-4846 ◽  
Author(s):  
Enkhsaikhan Boldsaikhan ◽  
Edward M. Corwin ◽  
Antonette M. Logar ◽  
William J. Arbegast
Keyword(s):  
Neural Network ◽  
Fourier Transform ◽  
Friction Stir Welding ◽  
Real Time ◽  
Discrete Fourier Transform ◽  
Friction Stir ◽  
Time Evaluation

scholarly journals Low-Speed Sensorless Control for the Interior Permanent Magnet Synchronous Motors with Sliding Discrete Fourier Transform

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Wenbao Hou ◽  
Guojun Tan ◽  
Zang Ling
Keyword(s):  
Fourier Transform ◽  
Permanent Magnet ◽  
Real Time ◽  
Discrete Fourier Transform ◽  
High Frequency ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Low Speed ◽  
Rotor Position ◽  
Interior Permanent Magnet

An efficient estimation of the rotor position has always been a premise of the reliable operation for the interior permanent magnet synchronous motors (IPMSM), especially for low-speed conditions because of the small back electromotive force (EMF) and low signal-to-noise ratio (SNR). The commonly used observation method, e.g., sliding mode observer (SMO), is suitable for these surface mounted motors and has no great adaptability to the saliency. In this paper, a novel rotor position (including the real-time position and initial position) estimation method was proposed based on the traditional high-frequency signal injection method. Firstly, high-frequency signals were injected to induce the high-frequency current components which contain the rotor position information. Then, the sliding discrete Fourier transform (SDFT) algorithm was used to extract the amplitudes of the induced current components which could be used to get the real-time and initial rotor positions by a proportional integral (PI) regulator and a polarity identification. Lastly, with the established experiments’ platform, the estimation tests of the rotor position at a low speed have been completed to make verification of the effectiveness of the approach studied in this paper.

Real-Time Impedance Estimation in Grid-Connected Photovoltaic System Using the Discrete Fourier Transform

2018 ◽  
Author(s):  
Samara de Cavalcante Paiva ◽  
Denis Keuton Alves ◽  
Flavio Bezerra Costa ◽  
Ricardo Lucio de Araujo Ribeiro ◽  
Thiago O. Alves Rocha
Keyword(s):  
Fourier Transform ◽  
Real Time ◽  
Discrete Fourier Transform ◽  
Photovoltaic System

scholarly journals A Fourier based algorithm to estimate the period of a sampled signal

2018 ◽  
Vol 11 (2) ◽  
pp. 152-160
Author(s):  
José Danilo Rairán Antolines
Keyword(s):  
Fourier Transform ◽  
Real Time ◽  
Discrete Fourier Transform ◽  
Upper Bound ◽  
Power Grid ◽  
Noisy Data ◽  
Physiological Signals ◽  
Sampled Signal ◽  
Null Value ◽  
Data Length

Given a sampled signal, in general, is not possible to compute its period, but just an approximation. We propose an algorithm to approximate the period, based on the Discrete Fourier Transform. If that transformation uses data length for multiples of the true period, some of its harmonics have null value. Thus, the best candidate to be a multiple of the period minimizes the value of those harmonics. The validation for noiseless data shows an upper bound in the error equal to a quarter of the time between two consecutive samples, whereas the result for noisy data demonstrates robustness. As application, the algorithm estimates the period of physiological signals, and tracks the frequency of the power grid in real time, which evidence its versatility

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