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Non-sine periodic signal real time high precision detection method

A periodic signal and detection method technology, applied in the field of signal processing, can solve problems such as large amount of calculation and poor precision, and achieve the effect of wide application prospects

Inactive Publication Date: 2008-07-09
HUNAN UNIV
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Problems solved by technology

[0004] In order to solve the technical problems of excessive calculation amount and poor precision of existing non-sinusoidal periodic signal real-time detection, the present invention provides a real-time high-precision detection method for non-sinusoidal periodic signal. The present invention has small calculation amount, high precision and real-time rapidity. Can meet the needs of modern industry

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  • Non-sine periodic signal real time high precision detection method
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  • Non-sine periodic signal real time high precision detection method

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example 1

[0057] Example 1: Signal to be analyzed:

[0058]

[0059] Among them, the fundamental frequency f 1 The frequency of other harmonics is an integer multiple of the fundamental frequency, the sampling frequency is 1000Hz, and the number of sampling points is 80 points. The amplitude (unitless value) and phase of the fundamental wave and each harmonic are shown in the table 1. Send the rated power frequency of 50Hz and the sampled values ​​to the neural network for training, and the measured frequency, amplitude and phase of the fundamental wave and each harmonic can be obtained at one time. Table 2 shows the harmonic frequency, amplitude, phase and its error relative to the true value obtained by using the neural network algorithm of the present invention. It can be seen from the simulation analysis results that the harmonic measurement method proposed by the present invention has good adaptability to frequency fluctuations, and the calculation accuracy of the amplitude an...

example 2

[0066] Example 2: For the analysis signal of Example 1, let the fundamental frequency vary from 40 to 60 Hz. In order to test the effectiveness of the improved neural network analysis method for non-sinusoidal periodic signal detection of the present invention on non-synchronously sampled discrete signals, we specify a sampling frequency of 1510 Hz and a discrete data length of 40 sampling points. Now consider the fundamental frequency of the actual signal is 40Hz, 50Hz, 60Hz and other three situations, in the actual three fundamental frequency conditions, with the specified sampling frequency and data length, it is obviously in the situation of asynchronous sampling and non-full cycle truncation . Let ε=10 -29 , η=0.0227, fundamental initial angular frequency ω 0 =100π. First, analyze the sensitivity of the learning rate β to the estimated value of the fundamental frequency under the above three actual fundamental frequencies, as shown in Figure 2. It can be seen from the...

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Abstract

The invention discloses a realtime high-accuracy non-sinusoidal periodic signal detection method, which comprises the following steps of: sampling non-sinusoidal periodic signals to be detected; calculating frequency, amplitude and phase of fundamental wave and harmonic of each order by using neural network based on triangular base function; and correcting the frequency of the fundamental wave of the non-sinusoidal periodic signal calculated by the neutral network by using windowed interpolation algorithm. By improving the neural network algorithm, the invention can execute high-accuracy analysis of frequency of the fundamental wave and amplitudes and phases of the fundamental wave and the harmonic of each order for asynchronous sampling and non-integer-period truncation, and high-accuracy harmonic analysis result of non-sinusoidal periodical signal can be obtained when the neutral network is convergent. The invention has the advantages of high speed, realtime operation, high accuracy, etc., and has wide application prospect in fields of mechanical engineering, motor testing, electric system stability analysis, signal processing, instrument and apparatus, industrial control, etc.

Description

technical field [0001] The invention relates to a real-time high-precision detection method for a non-sinusoidal periodic signal in the field of signal processing. Background technique [0002] In the fields of mechanical engineering, motor testing, power system stability analysis, signal processing, instrumentation, industrial control, etc., it is often necessary to detect non-sinusoidal periodic signals, and this detection requires high precision and real-time speed. However, current methods are difficult to do this. If the fast Fourier transform (FFT) method is used for detection, there are often grating effects and leakage phenomena, so that the calculated signal parameters, that is, frequency, amplitude, and phase, are inaccurate, especially the phase error is large, which cannot meet the harmonic measurement requirements. . The interpolation algorithm can eliminate the error caused by the grid effect, and the window function method can be used to eliminate the error ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R23/16G06N3/06
Inventor 何怡刚王小华刘美容李庆国肖迎群
Owner HUNAN UNIV
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